The times taken to travel to college by 2500 students are summarised in the table. Time taken (t minutes) | 0 ≤ t < 20 | 20 < t < 30 | 30 ≤ t < 40 | 40 < t < 60 | 60 < t < 90 Frequency | 440 | 720 | 920 | 300 | 120
- (a)Draw a histogram to represent this information.[4]
- (b)From the data, the estimate of the mean value of t is 31.44. Calculate an estimate of the standard deviation of the times taken to travel to college.[3]
- (c)In which class interval does the upper quartile lie?[1]
- (d)It was later discovered that the times taken to travel to college by two students were incorrectly recorded. One student's time was recorded as 15 instead of 5 and the other's time was recorded as 65 instead of 75. Without doing any further calculations, state with a reason whether the estimate of the standard deviation in part (b) would be increased, decreased or stay the same.[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 2022). The mark or mark type is shown in brackets.
- [M1] At least 4 frequency densities calculated (Frequency / class width, e.g. 440/20, condone 440/19.5, 440/20.5) Accept unsimplified, may be read from graph using their scale
- [A1] All heights correct on graph NOT FT
- [B1] Bar ends at [0,] 20, 30, 40, 60, 90 at axis with a horizontal linear scale with at least 3 values indicated. 0 <= horizontal scale <= 90
- [B1] Axes labelled frequency density (fd), time (t) and minutes (mins) or in a title. Linear vertical scale, with at least 3 values indicated 0 <= vertical axes <= 92 (condone 90 used).
- [B1] At least 4 correct midpoints seen
- [M1] Correct formula for variance or standard deviation (- mean² included with their midpoints (not upper bound, lower bound, class width, frequency density, frequency or cumulative frequency) and their ∑f if calculated. Condone 1 data error.
- [A1] WWW, allow 15.16[3...]
- [B1] 30-40
- [B1] Stays the same, data still in same intervals
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