11.6 Outliers, data cleaning and critiquing presentation — Practise
Work through these on your own. For every unusual value, say whether you keep it, correct it or remove it, and give a reason.
The questions and the answers below come from a set that is checked by computer every time the book is built.
- Find the interquartile range of , using the positions.
- Find the lower quartile of , using the method.
- A data set has and IQR . Find the lower fence for a possible outlier.
- A data set has and IQR . Find the upper fence for a possible outlier.
- The upper fence of a data set is 30. Is the value 45 a possible outlier?
- The data contain the outlier 45. Remove 45 and find the mean of the remaining values.
- A journey time is recorded as 300 seconds, but the rest of the data are in minutes. Convert 300 seconds to minutes.
- A data set has fences at 6 and 30. The values and are in the data. Find how many of these values lie outside the fences.
- A data set has mean 14 and standard deviation , dividing by . Using the rule that a value more than two standard deviations from the mean is a possible outlier, find the two fences.
- A data set has one missing value. The five known values are . Find the mean of the known values.
- A data set of 10 values has mean 20. One value, 50, is found to be a recording error. Remove 50 and find the mean of the remaining 9 values.
- A bar chart shows profits of 96, 98 and 100, and its vertical axis starts at 95. Find the percentage increase from 96 to 100, and say whether the chart exaggerates the change.
Answers and concise solutions
1. The interquartile range
Answer: There are values. The position of is , giving . The position of is , giving . The IQR is .
2. The lower quartile
Answer: The position of is , which is a whole number, so is the 3rd value: 15.
3. The lower fence
Answer: The lower fence is . A value below 6 is a possible outlier.
4. The upper fence
Answer: The upper fence is . A value above 30 is a possible outlier.
5. Whether 45 is a possible outlier
Answer: The value 45 is above the upper fence of 30, so it is a possible outlier. Being above the fence is a signal to look at the value, not proof that it is wrong.
6. The cleaned mean
Answer: The remaining values sum to 174, and there are 10 of them, so the mean is . The mean of all 11 values was , so removing the outlier lowered the mean by about 2.5.
7. The value in minutes
Answer: Divide by 60: seconds minutes. Converting every value to one unit before calculating removes the inconsistency.
8. The number of values outside the fences
Answer: The values outside the fences are 5 (below 6), 31 and 45 (both above 30). So 3 of the 5 values lie outside the fences.
9. The two fences
Answer: The fences are , which are about 8.34 and 19.66. State the rule you use, because a different rule gives different fences.
10. The mean of the known values
Answer: The known values sum to 80 and there are 5 of them, so the mean is . The missing value is excluded, and the answer should say that one value is missing.
11. The mean of the remaining values
Answer: The original total is . Removing 50 leaves 150 over 9 values, so the mean is (3 s.f.).
12. The percentage increase
Answer: The increase is (3 s.f.), which is small. Starting the axis at 95 makes the three bars look very different, so the chart exaggerates the change. An axis starting at 0 would show three almost equal bars.