Warm-up
Three quick questions from earlier lessons.
Discover
, , so IQR . Is a value of 48 unusually large?
- Yes, it is above
- No: only values above twice , 60, are outliers
Key idea
A rule of thumb for outliers, and a picture of the five-number summary.
1.5 × IQR rule: a value is an outlier if it is below or above . A boxplot draws the box from to , a line at the median, whiskers to the most extreme non-outliers, and outliers as separate points.
Worked example
, . The fences.
IQR
26 − 14.
Fences and
1.5 × 12 = 18.
Outliers: below or above
Any value beyond them.
Your turn, guided
Your turn: , . The lower fence.
40 − 15.
Practice ★
- A data set has and . Above which value is a data point an outlier by the rule?
- A data set has and . Above which value is a data point an outlier by the rule?
- A data set has and . Above which value is a data point an outlier by the rule?
Watch out!
Practice ★★
- and . Below which value is a data point an outlier?
- and . Below which value is a data point an outlier?
- A boxplot of 81 values shows which summary?
- The five-number summary (min, Q1, median, Q3, max), with outliers plotted separately
- The mean and the standard deviation
- How many values fall in each interval
Exit ticket
Three questions to check you have got it.
- A data set has and . Above which value is a data point an outlier by the rule?
- A data set has and . Above which value is a data point an outlier by the rule?
- A data set has and . Above which value is a data point an outlier by the rule?
Summary card
Outliers and boxplots
- Fences: and .
- Boxplot: five-number summary plus outliers.
Watch out: 1.5 × IQR, not 1 × IQR.