9709/53

Mathematics 9709/53May/June 2022

Cambridge AS Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme

7
questions
50
marks
75
minutes

Topics Representation of Data · Discrete Random Variables · Probability · The Normal Distribution · Permutations and Combinations

Q1Representation of DataFree sample

The time taken, tt minutes, to complete a puzzle was recorded for each of 150 students. These times are summarised in the table.

Time taken (tt minutes)t25t \leqslant 25t50t \leqslant 50t75t \leqslant 75t100t \leqslant 100t150t \leqslant 150t200t \leqslant 200
Cumulative frequency164486104132150
(a)

Draw a cumulative frequency graph to illustrate the data.

2M
DifficultyMedium-Easy
Worked solution

Approach

To draw a cumulative frequency graph, plot the cumulative frequency values against the corresponding upper class boundaries. The curve must start at the origin (0,0)(0,0) and be drawn as a smooth S-shaped curve.

Working

The data points to plot are:

  • (0,0)(0, 0)
  • (25,16)(25, 16)
  • (50,44)(50, 44)
  • (75,86)(75, 86)
  • (100,104)(100, 104)
  • (150,132)(150, 132)
  • (200,150)(200, 150)

Set up the axes with time tt (in minutes) on the horizontal axis from 0 to 200, and cumulative frequency on the vertical axis from 0 to 150 (or 160 for clarity). Plot the points and join them with a smooth curve.

Answer

Cumulative frequency graph plotted with points (0,0)(0,0), (25,16)(25,16), (50,44)(50,44), (75,86)(75,86), (100,104)(100,104), (150,132)(150,132), (200,150)(200,150) joined by a smooth curve.

Final answer

Cumulative frequency graph plotted with points (0,0), (25,16), (50,44), (75,86), (100,104), (150,132), (200,150) joined by a smooth curve.

Detailed explanation

Walkthrough

To construct a cumulative frequency graph, we first identify the upper class boundaries and their corresponding cumulative frequencies. The data given provides cumulative frequencies for t25,50,75,100,150,200t \leqslant 25, 50, 75, 100, 150, 200. We also include the implicit starting point (0,0)(0, 0) since no students finished in less than 0 minutes. We plot these seven points on a graph with time on the horizontal axis and cumulative frequency on the vertical axis. Finally, we join the points with a smooth, increasing S-shaped curve (ogive).

Key Takeaways

  • A cumulative frequency graph (ogive) is plotted using upper class boundaries on the horizontal axis and cumulative frequencies on the vertical axis.
  • The curve always starts at the origin (0,0)(0,0) and ends at the total frequency (max time,N)(\text{max time}, N).
  • The curve must be smooth and monotonically increasing.

Common Mistakes

  • Forgetting to include the origin (0,0)(0,0) as the starting point.
  • Joining the points with straight line segments instead of a smooth curve.
  • Using incorrect axes labels or scales.

Things to Be Careful About

  • Ensure the vertical axis scale accommodates the total frequency (150), so going up to 160 is a good practice.
  • The horizontal axis must cover the maximum time value (200).
  • The curve must be smooth; jagged lines will not be awarded marks.
Techniques used
plot cumulative frequency pointsdraw smooth cumulative frequency curve
(b)

Use your graph to estimate the 20th percentile of the data.

1M
DifficultyMedium-Easy
Worked solution

Approach

The 20th percentile corresponds to the value of tt where the cumulative frequency is 20100\frac{20}{100} of the total frequency. Calculate this cumulative frequency value, then read the corresponding tt from the graph.

Working

Total frequency N=150N = 150.
Cumulative frequency for the 20th percentile:

20100×150=30\frac{20}{100} \times 150 = 30

Draw a horizontal line from cumulative frequency =30= 30 to the curve, then a vertical line down to the horizontal axis to read the value of tt.

From the graph, the value of tt is approximately 40 minutes (acceptable range: 37.5 to 42 minutes).

Answer

40

Final answer

40

Detailed explanation

Walkthrough

To find the 20th percentile, we first determine what cumulative frequency corresponds to 20% of the data. Since there are 150 students in total, we calculate 20100×150=30\frac{20}{100} \times 150 = 30. This means the 20th percentile is the time taken by the 30th student when ordered from fastest to slowest. We then locate 30 on the vertical cumulative frequency axis, draw a horizontal line to intersect the curve, and drop a vertical line down to the horizontal time axis to read the estimated time tt. Reading from the graph, this value falls between 37.5 and 42 minutes.

Key Takeaways

  • The pp-th percentile of NN data points is found at cumulative frequency p100×N\frac{p}{100} \times N.
  • Percentiles are read from a cumulative frequency graph by moving horizontally from the frequency axis to the curve, then vertically to the variable axis.

Common Mistakes

  • Using the wrong formula for the percentile position (e.g., using p100×(N+1)\frac{p}{100} \times (N+1) which is for discrete data, not cumulative frequency graphs).
  • Reading the graph incorrectly, such as reading the cumulative frequency instead of the time tt.
  • Forgetting to draw the construction lines from the axes to the curve.

Things to Be Careful About

  • The mark scheme allows a range of acceptable answers (37.5 to 42) due to the nature of reading from a hand-drawn graph.
  • Ensure the graph used is increasing; if the curve is drawn incorrectly in part (a), the answer in (b) will be marked wrong (B1 FT).
Techniques used
calculate percentile valueread value from cumulative frequency graph

The rest of this paper

6 more questions
  • Q2Representation of Data3M
  • Q3Discrete Random Variables6M
  • Q4Discrete Random Variables · Probability7M
  • Q5The Normal Distribution10M
  • Q6Probability10M
  • Q7Permutations and Combinations11M
Loading the full paper…