The following table gives the weights, in grams, of 60 items delivered to a company in a day.
| Weight (g) | 0 - 10 | 10 - 20 | 20 - 30 | 30 - 40 | 40 - 50 | 50 - 60 | 60 - 80 |
| No. of items | 2 | 11 | 18 | 12 | 9 | 6 | 2 |
- Use interpolation to calculate estimated values of
- the median weight,
- the interquartile range,
- the thirty-third percentile.
[7 marks]
Outliers are defined to be outside the range from \(2.5Q_1 - 1.5Q_2\) to \(2.5Q_2 - 1.5Q_1\).
- Given that the lightest item weighed 3 g and the two heaviest weighed 65 g and 79 g, draw on graph paper an accurate box-and-whisker plot of the data. Indicate any outliers clearly. [5 marks]
- Describe the skewness of the distribution. [1 mark]
The mean weight was 32.0 g and the standard deviation of the weights was 14.9 g.
- State, with a reason, whether you would choose to summarise the data by using the mean and standard deviation or the median and interquartile range. [2 marks]
On another day, items were delivered whose weights ranged from 14 g to 58 g; the median was 32 g, the lower quartile was 24 g and the interquartile range was 26 g.
- Draw a further box plot for these data on the same diagram. Briefly compare the two sets of data using your plots. [6 marks]