Histograms: Histograms are a way to visually display the distribution of values in quantitative data.
In other words, histograms are the picture version a frequency tables.
Pop Quiz: What are the two possible kinds of quantitative data?
Fact: A histogram may summarize either discrete or continuous data.
Example: Discrete Data.
The figure below is a histogram of the self-reported number of daily servings of fruit eaten for a sample of $74$ students.

Note: A histogram is merely a graphical representation of a frequency table.

Question: About how many of these students ate $2$ servings of fruit per day?
Question: About what percentage of these students ate between $3$ and $5$ servings of fruit per day, inclusive?

Example: Continuous Data.
Below is a histogram of the percent return on a randomly chosen collection of client portfolios for the S.P. Martini Wealth Management Company.

Note: A histogram is merely a graphical representation of a frequency table.

Question: About what percentage of portfolios saw a return between $-20\%$ and $-10\%?$
Question: About what percentage of portfolios actually made money (saw a return of more than $0\%$)?

Frequency Polygons: Frequency polygons are the line-graph version of a histogram.
They are also useful for understanding the shape of a distribution.
To make a frequency polygon, take the midpoint of each bar (or bin) as the horizontal, and plot it against the frequency (or relative frequency, or percentage) as the vertical.
Example: Below, the frequency polygon is overlaid on top of the histogram for the S.P. Martini Wealth Management Data.

Example: Below is just the frequency polygon for the S.P. Martini Wealth Management Data.
Percent | |
Yearly Portfolio Return |
Note: The frequency polygon is merely a line graph of a frequency table where the left hand column is now the midpoint of each bin (instead of an interval).

Making a Histogram: Listed below are a random sample of commute times to work of $20$ for workers in Martiniville, U.S.A. in order from smallest to largest.
$5, 8, 11, 13, 15, 16, 17, 17, 19, 19, 30, 31, 33, 35, 43, 44, 60, 61, 62, 82$
Construct a histogram either by hand,
by using your TI Calculator,
or by using Holt.Blue.