A histogram represents quantitative data by grouping values into contiguous numerical intervals (bins), with each bar’s height showing the frequency of observations in that interval; the intervals represent ranges rather than individual categories or exact data values. Interpretation includes identifying the distribution’s approximate center, spread, peaks, clusters, gaps, and possible skew, and comparing these features across histograms. The focus is on frequency and overall shape, not probability density or formal statistical inference.
A histogram shows how many data values fall within each numerical interval, called a bin.
A histogram shows the ages of people at a community event. Its bars have these heights:
| Age interval | Frequency |
|---|---|
| – | |
| – | |
| – | |
| – | |
| – | |
| – | |
| – |
The tallest bar is for ages –, with a frequency of .
So, the most common age range is approximately –.
The bars are highest near – and decrease on both sides. Therefore, the center of the data is approximately in the – age range.
A histogram usually lets us estimate the center, not find an exact value.
The data extend from about age to age . Thus, the ages have a spread of roughly years.
The exact smallest and largest ages cannot be determined from the histogram; we only know the intervals containing them.
The bars rise toward the middle and then fall in a similar way on both sides. The distribution is approximately symmetric and mound-shaped.
There is one clear peak, or main high point, at –.
To interpret a histogram, look for:
Always remember that the bars represent ranges of values, not individual categories or exact data values.
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