Histograms 5 / 7

Histograms and frequency distributions

Frequency distribution

A frequency distribution shows how often each different value occurs. 

A histogram is the most commonly used graph to show frequency distributions.

Illustration: A histogram with EQUAL intervals

The table below shows how many hours students study per week.

 Hours Spent to study Number of Students (Frequency)
0 - 1 10
1 - 1.99 15
2 - 2.99 4
3 - 3.99 3
4 - 4.99 1
18-11 Histogram

Interpreting a histogram with unequal class intervals

If a distribution has unequal intervals, the heights of the bars have to be adjusted for the fact that the bars do not have the same width.

With a histogram we look at the whole area (not just a height), also a width.

Illustration: A histogram with UNEQUAL intervals

The table below shows how many hours students study per week.

Number of HoursNumber of students
> 3 ≤ 58
> 5 ≤ 66
>6 ≤ 86
>8 ≤ 1010
>10 ≤ 136

Note the symbol:
≤ means 'less than or equal to'.
> means 'greater than'

Here the class intervals for hours are not all the same

1 (eg 5 - 6)
2 (eg 6 - 8)
3 (eg 10 - 13)

So a bar chart would be misleading because there will naturally be more students in the bigger intervals than the smaller intervals.

That's why we use a Histogram.

A histogram is drawn as follows:

  1. Choose a standard width of bar
    This will be the most frequently occurring interval

    in Our Illustration this is an interval of 2.

  2. The width of each bar on the chart reflects the size of the interval

    eg  > 6 ≤ 8 , a range of 2, will be twice as wide as the bar representing  > 5 ≤ 6, a range of 1.

  3. Calculate the height of the bar

    Check the adjustment in the following table:

Number of HoursSize of intervalNumber of students (Frequency)AdjustmentHeight of bar
> 3 ≤ 52 8 x 2/2 8
> 5 ≤ 61 6 x 2/1 12
>6 ≤ 82 6 x 2/2 6
>8 ≤ 102 10 x 2/2 10
>10 ≤ 133 6 x 2/3 4
18-11 student-hours

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