(a) On Monday, the amount of money spent on a website by each customer was recorded. The table shows the results. Amount of money (m) | 0<m≤30 | 30<m≤40 | 40<m≤50 | 50<m≤60 | 60<m≤90 Frequency | p | 18 | 24 | 19 | 24 The histogram shows some of the results. [Figure 7.1] (b) The table shows the amount of money spent on a website by each customer on Tuesday. Amount of money (m) | 0<m≤30 | 30<m≤40 | 40<m≤50 | 50<m≤60 | 60<m≤90 Frequency | 22 | 16 | 24 | 19 | 14
- (a)(i)Find the value of p.[1]
- (a)(ii)Complete the histogram.[3]
- (a)(iii)One of these customers is selected at random to receive a discount voucher. Calculate the probability that this customer spent more than $50 on Monday.[1]
- (b)(i)Calculate an estimate of the mean.[3]
- (b)(ii)An error was made and one of the sales on Tuesday was not included in the table. That customer spent $41. Tristan says: If that value had been included in the table, then the estimated mean would have been higher. Without calculation, explain why he is correct.[1]
This question uses a diagram from the original paper, which isn't shown here. Open the full paper from the past papers archive to see it.
Mark scheme
Marking points from the official mark scheme (May/June 2023). The mark or mark type is shown in brackets.
- [1] 15
- [3] B1 for each bar
- Completed histogram
- After 0 scored, SC1 for 2.4, 1.9 and 0.8 soi
- [1] FT 43/(85 + their(a)(i)) provided their (a)(i) is a positive integer
- 43/100 or 0.43 or 43%
- [3] B1 for correct midpoints soi
- M1 for (22×15+16×35+24×45+19×55+14×75) / (22+16+24+19+14)
- 42.8[0] or 42.78 to 42.79
- [1] 41 is in 40 < m < 50 so mid-value of 45 would have been used to estimate the mean which is higher than the estimated mean oe
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