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A phone plan costs 37 dollars a month plus 15 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 30 dollars a month plus 6 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 38 dollars a month plus 12 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 38 dollars a month plus 9 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 24 dollars a month plus 8 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 23 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 24 dollars a month plus 13 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 16 dollars a month plus 6 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 34 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 15 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 31 dollars a month plus 11 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 19 dollars a month plus 11 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 27 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 29 dollars a month plus 11 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 39 dollars a month plus 10 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 36 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 26 dollars a month plus 7 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 32 dollars a month plus 12 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 35 dollars a month plus 7 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 28 dollars a month plus 12 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 35 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 16 dollars a month plus 12 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 38 dollars a month plus 6 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 37 dollars a month plus 12 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 22 dollars a month plus 15 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 15 dollars a month plus 14 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 24 dollars a month plus 7 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 36 dollars a month plus 13 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 30 dollars a month plus 13 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 34 dollars a month plus 6 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 20 dollars a month plus 10 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 18 dollars a month plus 12 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 27 dollars a month plus 7 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 35 dollars a month plus 11 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 35 dollars a month plus 8 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 34 dollars a month plus 8 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 22 dollars a month plus 10 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 24 dollars a month plus 14 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 26 dollars a month plus 13 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 35 dollars a month plus 14 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 21 dollars a month plus 8 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 17 dollars a month plus 14 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 29 dollars a month plus 8 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 19 dollars a month plus 10 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 33 dollars a month plus 7 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 18 dollars a month plus 15 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 29 dollars a month plus 5 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 27 dollars a month plus 15 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 21 dollars a month plus 10 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
A phone plan costs 32 dollars a month plus 15 cents per text. Maya wants a model for her monthly bill. Which is the best definition of the variable?
1. Let n be the number of texts Maya sends in one month
2. Let n be texts
3. Let n be the cost of one text
Solve $3x + 3 = -18$ . $x = \;?$
A survey asked 145 people whether they exercise weekly. Under 30: 22 yes, 43 no. Age 30 or over: 27 yes, 53 no. What proportion of the under-30s exercise weekly?
$f(x) = 2x^2 + 3$ . Find $f(-3)$ .
A table gives $x = 0, 1, 2, 3$ and $y = 4, 12, 36, 108$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 8 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 8, 24, 72, 216$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 16 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 7, 14, 28, 56$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 7 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 5, 15, 45, 135$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 10 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 5, 10, 20, 40$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 5 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 4, 20, 100, 500$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 16 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 2, 4, 8, 16$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 2 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 7, 28, 112, 448$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 21 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 2, 10, 50, 250$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 8 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 6, 30, 150, 750$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 24 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 4, 8, 16, 32$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 4 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 3, 15, 75, 375$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 12 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 8, 16, 32, 64$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 8 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 9, 18, 36, 72$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 9 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 5, 20, 80, 320$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 15 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 7, 35, 175, 875$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 28 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 3, 9, 27, 81$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 6 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 3, 6, 12, 24$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 3 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 7, 21, 63, 189$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 14 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 6, 12, 24, 48$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 2 at each step
2. Linear: $y$ goes up by 6 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 6, 24, 96, 384$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 18 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 9, 45, 225, 1125$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 36 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 4, 16, 64, 256$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 12 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 5, 25, 125, 625$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 20 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 2, 8, 32, 128$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 6 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 2, 6, 18, 54$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 4 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 9, 36, 144, 576$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 27 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 6, 18, 54, 162$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 12 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 8, 32, 128, 512$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 24 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 8, 40, 200, 1000$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 5 at each step
2. Linear: $y$ goes up by 32 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 9, 27, 81, 243$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 3 at each step
2. Linear: $y$ goes up by 18 at each step
3. Neither
A table gives $x = 0, 1, 2, 3$ and $y = 3, 12, 48, 192$ . What kind of relationship is it?
1. Exponential: $y$ is multiplied by 4 at each step
2. Linear: $y$ goes up by 9 at each step
3. Neither
A tile pattern has 6, 9, 14 and 21 tiles in steps 1 to 4 (a square of tiles plus 5 extra). How many tiles are in step 10?
Solve $x^2 = 100$ . Enter all solutions.
Put the steps for constructing the perpendicular bisector of a segment AB of length 7 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
Put the steps for constructing the perpendicular bisector of a segment AB of length 9 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
Put the steps for constructing the perpendicular bisector of a segment AB of length 6 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
Put the steps for constructing the perpendicular bisector of a segment AB of length 4 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
Put the steps for constructing the perpendicular bisector of a segment AB of length 10 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
Put the steps for constructing the perpendicular bisector of a segment AB of length 5 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
Put the steps for constructing the perpendicular bisector of a segment AB of length 8 cm in order.
- With the compass point on A, draw an arc with a radius of more than half of AB
- Keep the same opening; with the point on B, draw an arc that crosses the first one twice
- Label the two crossing points P and Q
- Draw the line through P and Q with the straightedge
$\triangle ABC \cong \triangle DEF$ with $AB = 3$ , $BC = 11$ and $CA = 18$ . Find $DE$ .
Dilate $A(3, 1)$ about the origin with scale factor 2. Tap its image.
An isosceles right triangle has legs of length 8. Find the hypotenuse (exact).
A cylinder of radius 4 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 4
2. A rectangle
3. An ellipse
A cylinder of radius 2 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 2
2. A rectangle
3. An ellipse
A cylinder of radius 5 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 5
2. A rectangle
3. An ellipse
A cylinder of radius 8 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 8
2. A rectangle
3. An ellipse
A cylinder of radius 7 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 7
2. A rectangle
3. An ellipse
A cylinder of radius 3 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 3
2. A rectangle
3. An ellipse
A cylinder of radius 9 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 9
2. A rectangle
3. An ellipse
A cylinder of radius 6 is sliced by a plane parallel to its base. What shape is the cross section?
1. A circle of radius 6
2. A rectangle
3. An ellipse
Find the distance between $(-1, -3)$ and $(2, 1)$ .
A central angle measures $49^\circ$ . Find an inscribed angle that intercepts the same arc (degrees).
Two fair dice are rolled. Find the probability that the sum is 2.
$a_1 = 3$ and $a_{n+1} = 2a_n - 7$ . Find $a_3$ .
Expand $(x + 6)(x + 9)$ . What is the coefficient of $x$ ?
Evaluate $36^{ \frac{ 5 }{2} }$ .
A culture starts with 7 grams of algae. Each week, the amount is multiplied by 3. How many grams are there after 3 weeks?
Evaluate $\log_{ 10 } 20 + \log_{ 10 } 5$ without a calculator.
$f(x) = \begin{cases} x + 3 & \text{if } x < 5 \\ 3x & \text{if } x \ge 5 \end{cases}$ . Find $f(5)$ .
What kind of function is f(x) = 9 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 4 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 9 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 8 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 8 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 7 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 4 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 8 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 2 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 2 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 2 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 6 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 9 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 3 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 3 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 5 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 5 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 4 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 2 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 7 · 3^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 5 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 8 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 6 · 2^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 7 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 9 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 3 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 7 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 5 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 6 · 5^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 6 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 3 · 4^x?
1. Exponential
2. Polynomial
3. Linear
What kind of function is f(x) = 4 · 4^x?
1. Exponential
2. Polynomial
3. Linear
Convert $225^\circ$ to radians. Give the exact value.
The vector $\langle 2, 1 \rangle$ starts at the point $(1, 1)$ . Tap the point where it ends.
A researcher measures the sleep of 376 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 288 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 121 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 257 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 244 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 126 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 291 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 133 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 136 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 266 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 168 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 57 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 89 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 193 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 84 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 154 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 338 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 111 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 95 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 231 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 105 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 75 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 68 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 318 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 292 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 98 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 303 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 129 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 325 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 314 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 175 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 438 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 242 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 319 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 144 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 285 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 300 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 328 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 362 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 150 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 483 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 224 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 149 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 310 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 177 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 267 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 151 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 123 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 254 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A researcher measures the sleep of 219 randomly chosen teenagers and finds a mean of 7.1 hours. What is 7.1?
1. A statistic: it describes the sample
2. A parameter: it describes all teenagers
3. The population
A random variable X takes the values 0, 1 and 2, with P(X = 0) = 29/100 and P(X = 1) = 13/100. Find P(X = 2).
What is the domain of $f(x) = \sqrt{x - 9}$ ? Give it as an interval.
Describe the end behavior of $f(x) = 7x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 3x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 3x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 8x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 4x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 7x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 5x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 5x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 7x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 2x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 5x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 2x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 9x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 4x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 3x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 6x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 8x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 8x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 9x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 4x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 6x^{ 3 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 6x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 2x^{ 7 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Describe the end behavior of $f(x) = 9x^{ 5 }$ .
1. As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
2. As $x \to \pm\infty$ , $f(x) \to \infty$
3. As $x \to \infty$ , $f(x) \to -\infty$ ; as $x \to -\infty$ , $f(x) \to \infty$
Evaluate $\log_{ 4 } 16$ .
Find the exact value of $\cos\left(\frac{\pi}{6}\right)$ .
$\sin\theta = \frac{1}{5}$ and $\theta$ is in quadrant II. Find the exact value of $\cos\theta$ .
Find the exact magnitude of $\vec{v} = \langle 6, -5 \rangle$ .
Let A = $\begin{pmatrix} 3 & -3 \\ 7 & 5 \end{pmatrix}$ and B = $\begin{pmatrix} -4 & -4 \\ -5 & 5 \end{pmatrix}$ . What is the entry in row 1, column 2 of A + B?
$x(t) = t + 1$ and $y(t) = t^2$ . Tap the point where the curve is at $t = 1$ .
What is the radius of the circle $(x - 9)^2 + (y + 1)^2 = 16$ ?
An arithmetic sequence has $a_1 = 14$ and common difference 2. Find $a_{ 43 }$ .
A distribution of incomes has mean 54 thousand dollars and median 43 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 59 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 58 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 73 thousand dollars and median 59 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 54 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 50 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 57 thousand dollars and median 49 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 68 thousand dollars and median 53 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 60 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 69 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 68 thousand dollars and median 57 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 51 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 49 thousand dollars and median 41 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 72 thousand dollars and median 60 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 67 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 61 thousand dollars and median 56 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 60 thousand dollars and median 52 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 52 thousand dollars and median 45 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 51 thousand dollars and median 42 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 57 thousand dollars and median 46 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 55 thousand dollars and median 41 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 53 thousand dollars and median 48 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 59 thousand dollars and median 47 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 65 thousand dollars and median 51 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 63 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 64 thousand dollars and median 56 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 62 thousand dollars and median 49 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 55 thousand dollars and median 43 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 55 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 62 thousand dollars and median 48 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 70 thousand dollars and median 60 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 63 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 61 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 53 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 52 thousand dollars and median 44 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 65 thousand dollars and median 53 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 66 thousand dollars and median 58 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 61 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 74 thousand dollars and median 59 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 51 thousand dollars and median 40 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 65 thousand dollars and median 60 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 60 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 58 thousand dollars and median 48 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 57 thousand dollars and median 50 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 68 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 66 thousand dollars and median 54 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 52 thousand dollars and median 42 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 67 thousand dollars and median 52 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 53 thousand dollars and median 41 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
A distribution of incomes has mean 69 thousand dollars and median 55 thousand dollars. What is its most likely shape?
1. Skewed right: a long tail of high values pulls the mean up
2. Skewed left
3. Symmetric
How many inches are in 5 feet? (1 foot = 12 inches)
Solve $7x + 9y = 23$ for $y$ . $y = \;?$
Of 40 drivers who texted, 30 had a near-miss; of 40 who did not text, 10 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 40 drivers
3. Yes, and it proves texting causes near-misses
Of 44 drivers who texted, 33 had a near-miss; of 44 who did not text, 11 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 44 drivers
3. Yes, and it proves texting causes near-misses
Of 20 drivers who texted, 15 had a near-miss; of 20 who did not text, 5 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 20 drivers
3. Yes, and it proves texting causes near-misses
Of 32 drivers who texted, 24 had a near-miss; of 32 who did not text, 8 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 32 drivers
3. Yes, and it proves texting causes near-misses
Of 60 drivers who texted, 45 had a near-miss; of 60 who did not text, 15 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 60 drivers
3. Yes, and it proves texting causes near-misses
Of 28 drivers who texted, 21 had a near-miss; of 28 who did not text, 7 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 28 drivers
3. Yes, and it proves texting causes near-misses
Of 64 drivers who texted, 48 had a near-miss; of 64 who did not text, 16 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 64 drivers
3. Yes, and it proves texting causes near-misses
Of 56 drivers who texted, 42 had a near-miss; of 56 who did not text, 14 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 56 drivers
3. Yes, and it proves texting causes near-misses
Of 48 drivers who texted, 36 had a near-miss; of 48 who did not text, 12 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 48 drivers
3. Yes, and it proves texting causes near-misses
Of 72 drivers who texted, 54 had a near-miss; of 72 who did not text, 18 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 72 drivers
3. Yes, and it proves texting causes near-misses
Of 68 drivers who texted, 51 had a near-miss; of 68 who did not text, 17 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 68 drivers
3. Yes, and it proves texting causes near-misses
Of 76 drivers who texted, 57 had a near-miss; of 76 who did not text, 19 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 76 drivers
3. Yes, and it proves texting causes near-misses
Of 36 drivers who texted, 27 had a near-miss; of 36 who did not text, 9 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 36 drivers
3. Yes, and it proves texting causes near-misses
Of 24 drivers who texted, 18 had a near-miss; of 24 who did not text, 6 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 24 drivers
3. Yes, and it proves texting causes near-misses
Of 52 drivers who texted, 39 had a near-miss; of 52 who did not text, 13 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 52 drivers
3. Yes, and it proves texting causes near-misses
Of 80 drivers who texted, 60 had a near-miss; of 80 who did not text, 20 had one. Is there an association between texting and near-misses in these data?
1. Yes: 75% of texters vs 25% of non-texters had a near-miss
2. No: both groups have 80 drivers
3. Yes, and it proves texting causes near-misses
Find the average rate of change of $f(x) = 3x^2$ from $x = 0$ to $x = 6$ .
A geometric sequence has $a_1 = 3$ and ratio 3. Find $a_{ 4 }$ .
Write $(x + 2)(x - 3)$ in standard form $ax^2 + bx + c$ .
Solve $x(x - 3) = 0$ . Enter all solutions.

Answers

Let n be the number of texts Maya sends in one month
$-7$
$\frac{22}{65}$
$21$
Exponential: $y$ is multiplied by 3 at each step
$105$
$10,\ -10$
1. With the compass point on A, draw an arc with a radius of more than half of AB 2. Keep the same opening; with the point on B, draw an arc that crosses the first one twice 3. Label the two crossing points P and Q 4. Draw the line through P and Q with the straightedge
$3$
$(6, 2)$
$8 \sqrt{2}$
A circle of radius 4
$5$
$\frac{49}{2}$
$\frac{1}{36}$
$-9$
$15$
$7776$
$189$
$2$
$15$
Exponential
$\frac{5 \pi}{4}$
$(3, 2)$
A statistic: it describes the sample
$\frac{29}{50}$
$[9, \infty)$
As $x \to \infty$ , $f(x) \to \infty$ ; as $x \to -\infty$ , $f(x) \to -\infty$
$2$
$\frac{\sqrt{3}}{2}$
$- \frac{2 \sqrt{6}}{5}$
$\sqrt{61}$
$-7$
$(2, 1)$
$4$
$98$
Skewed right: a long tail of high values pulls the mean up
$60$
$\frac{23}{9} - \frac{7 x}{9}$
Yes: 75% of texters vs 25% of non-texters had a near-miss
$18$
$81$
$x^{2} - x - 6$
$0,\ 3$