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Unit E2 Section 4
Frequency Graphs: Histograms

For continuous data, when any value over a range of values is possible, a frequency graph like the one below should be used, rather than a bar chart which is used for discrete data.

A graph like this is often called a histogram, and is characterised by having a continuous scale along the horizontal axis. Note that in this case the widths of the bars are all the same, but this is not always the case, as you will see in the next section. Care though must be taken about the end points. For example, the first class interval (in minutes) would normally be 30 ≤ time < 35, so that a time of 35 minutes would be in the second class interval.

A frequency polygon could also be used to show the same data, as on the following graph. Note how it is related to the histogram.

Worked Examples

1

Use the data shown on the graphs above to answer these questions.

(a)

How many people completed the Fun Run in between 40 and 45 minutes?

The 40-45 minute interval contains 21 people.

(b)

How many people completed the Fun Run in less than 40 minutes?

The 30-35 and 35-40 minute intervals must be considered.

There are 10 people in the 30-35 minute interval.

There are 8 people in the 35-40 minute interval.

So there are 10 + 8 = 18 people who complete the run in less than 40 minutes.

(c)

How many people completed the Fun Run in less than 1 hour?

The number in each interval is needed.

So the number of people is:

10 + 8 + 21 + 28 + 7 = 74

2

A group of students measured the reaction times of 50 other students. The times are given below correct to nearest hundredth of a second.

Draw a histogram for this data.

First the data must be collected into groups, using a tally chart.

Now that the data has been collected in this way, the histogram below can be drawn.

3

Draw a frequency polygon for the data on the height of children, given in cm, in the table below.

Points should be placed above the centre of each interval. The height is given by the frequency. The following graph shows these points.

Note that points have been placed on the horizontal axis in the intervals that have frequencies of 0. The points can then be joined to give the frequency polygon below.

Exercises

The histogram below shows how the weights of students in a school class were distributed.

(a)

How many students had a weight of 70 kg or more?

(b)

How many students had a weight of at least 50 kg but less than 65 kg?

(c)

How many students had a weight less than 50 kg?

(d)

How many students were there in that class?

The frequency polygon shows the weekly wages of a large firm.

(a)

How many people earned at least £300 per week but less than £350?

(b)

How many people earned at least £100 per week but less than £300?

(c)

How many people are employed by the firm?

(d)

What are the largest and smallest possible weekly wages that the graph shows could be paid?

Largest: £

Smallest: £

The marks gained by a group of students in a mathematics test are shown below.

11202427
29341322
26273136
17232628
32381923
27283339
(a)

Complete the following frequency table to show the distribution of the marks.

MarksFrequency
10 - 142
15 - 19
20 - 24
25 - 29
30 - 34
35 - 393

Draw a histogram to represent the information in the completed frequency table from (a) above.

(b)

Calculate the probability that a student chosen at random from those who wrote the test scored LESS THAN 25 marks.

The graph shows the result of a survey of the times at which students arrived at school one day.

How many students arrived for school from 0730 onwards but before 0750?

students