A-level Mathematics

11.3 Diagrams for single-variable data and the histogram — Practise with help

Work each question closed book first. Check your arithmetic by adding the frequencies back to the total.

Warm-up: remember

  1. Work out 8+14+11+78 + 14 + 11 + 7.
  2. Find 25%25\% of 6060.
  3. Write 1824\dfrac{18}{24} in its simplest form.
Answers
  1. 8+14+11+7=408 + 14 + 11 + 7 = 40.
  2. 0.25×60=150.25 \times 60 = 15.
  3. 1824=34\dfrac{18}{24} = \dfrac{3}{4}.

If question 3 was hard, revise equivalent fractions before you start.

Practise with help

1. A class of width 20 contains 15 values. Find the frequency density.

Hint

Frequency density is the frequency divided by the class width.

Next step

Work out 1520\dfrac{15}{20} and leave it as a decimal or a fraction.

Full working frequency density=1520=0.75.\text{frequency density} = \frac{15}{20} = 0.75.

The bar is three-quarters of a unit high.

2. A histogram bar has frequency density 2.5 for the class 1010–3030. Find the frequency in the class.

Hint

The class width is 30−1030 - 10. Multiply the density by it.

Next step

The width is 2020, so work out 2.5×202.5 \times 20.

Full working frequency=2.5×20=50.\text{frequency} = 2.5 \times 20 = 50.

So 50 values lie in the class.

3. A histogram has frequency density 3 for the class 00–88. Find the number of values between 22 and 88.

Hint

The part from 22 to 88 has width 8−2=68 - 2 = 6.

Next step

Multiply the density 3 by the width 6.

Full working frequency=3×6=18.\text{frequency} = 3 \times 6 = 18.

The area over the part of the bar from 22 to 88 gives 18 values.

4. Complete the frequency density column: class 00–55 with frequency 15, class 55–1515 with frequency 25.

Hint

Find each class width first. They are not the same.

Next step

For the first class, 155\dfrac{15}{5}; for the second, 2510\dfrac{25}{10}.

Full working

The first width is 5, so the density is 155=3\dfrac{15}{5} = 3. The second width is 10, so the density is 2510=2.5\dfrac{25}{10} = 2.5. The second class has a larger frequency but a shorter bar, because it is twice as wide.

5. A histogram of 80 values has frequency density 0.5 in the class 2020–4040. Estimate the probability that a value lies in the class.

Hint

First turn the frequency density into a frequency.

Next step

The width is 2020, so the frequency is 0.5×20=100.5 \times 20 = 10. Now divide by the total of 80.

Full working frequency=0.5×20=10,P=1080=18=0.125.\text{frequency} = 0.5 \times 20 = 10, \qquad P = \frac{10}{80} = \frac{1}{8} = 0.125.

The estimate is 18\dfrac{1}{8}.

6. A student wants to show the number of hours spent watching television by 40 people, grouped into classes 0–1, 1–2, 2–3 and 3–5 hours. Explain why a histogram is the right choice, and why a bar chart with gaps would mislead.

Hint

Decide whether the variable is continuous or categorical.

Next step

Compare the class widths: the last class is twice as wide as the others.

Full working

Time is continuous, so the classes have no gaps and a histogram is the right diagram. The last class is twice as wide as the others, so its bar must be drawn with frequency density, not frequency. A bar chart with gaps would treat the classes as separate categories and would let the wide class look twice as common as it is.

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