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  - What Is a Histogram?
  - When Are Histograms Used?
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Histograms

Displaying Continuous Data

When organizing data, we should consider the type of data that we are working with.

Stem	Leaf
\(2\)	\(~7\) \(~9\)
\(3\)	\(~0\) \(~3\) \(~3\) \(~6\) \(~6.5\) \(~7\) \(~9\)
\(4\)	\(~0.7\) \(~1\) \(~4\) \(~4\) \(~5\) \(~8\)
\(5\)	\(~2\)

Interval	Frequency
\(60\) – \(65\)	\(550\)
\(65\) – \(70\)	\(1000\)
\(70\) – \(75\)	\(800\)
\(75\) – \(80\)	\(400\)
\(80\) – \(85\)	\(250\)

See the distribution of the data.
See each individual piece of data.
Doesn't work well for large data sets.

See the distribution of the data.
Works for large data sets.

Lesson Goals

Identify the features of a histogram.
Decide when a histogram is an appropriate way to represent data.
Select different interval sizes for histograms.
Answer questions using data represented in a histogram.

Try This!

My grocery store sells bags of apples. Each bag is said to contain \(1.36\) kg of apples.

Do all of the apple bags weigh more than \(1.36\) kg?
What percentage of the weighed apple bags are at least \(1.6\) kg?

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