A factory produces bags of flour with a labelled mass of 1 kg (1000 g). Before setting tolerance limits, a quality inspector wants to check whether the masses of the bags are approximately normally distributed. This investigation follows the statistical enquiry cycle: plan, collect, process and interpret.
(a)PLAN: Describe a suitable method the inspector could use to select a sample of 50 bags from a day's production for weighing, and explain how this method helps to avoid bias.(2)
(b)COLLECT/PROCESS: The inspector weighs a small sample of 8 bags. Their masses, in grams, are shown in the table.
| Bag | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|
| Mass (g) | 994 | 998 | 1001 | 1002 | 999 | 1005 | 997 | 1000 |
Work out the mean mass of this sample.(2)
(c)PROCESS: Work out the median mass of the sample of 8 bags in part (b).(1)
(d)INTERPRET: A much larger sample confirms that the masses of all bags produced are normally distributed with a mean of 1000 g and a standard deviation of 8 g. The factory sets tolerance limits of 984 g to 1016 g, and rejects any bag outside these limits. Use the empirical rule to estimate the percentage of bags that would be rejected, and comment on whether the tolerance limits seem reasonable.(3)
(Total for Question 14 is 8 marks)