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Visualizing Data: Histograms for Statistical Analysis

Understand the purpose and creation of histograms in statistics to represent data in a visual form. Learn to interpret histograms and create them using class boundaries and frequencies. Examples provided for High Temperatures and SUVs' MPG.

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Visualizing Data: Histograms for Statistical Analysis

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  1. Chapter 2.2 Histograms

  2. Graphs • The purpose of graphs in statistics is to convey the data to the viewers in pictorial form. They are used to describe the data set or to analyze it. • The three most commonly used graphs in research are the histogram, the frequency polygon, and the ogive (aka cumulative frequency graph)

  3. Histogram • The histogram is a graph that displays the data by using contiguous vertical bars (unless the frequency is 0) of various heights to represent the frequencies of the classes.

  4. Example 1: Frequency Table for High Temperatures of each state:

  5. Steps for making a Histogram • Draw and label the x and y axes • Represent the frequency on the y-axis and the class boundaries on the x-axis. • Use the frequencies as heights, draw vertical bars for each class

  6. Histogram for High Temperatures in Each State

  7. Example 2: MPG of SUVs

  8. Histogram for MPG of SUVs

  9. Texting Survey! • Please keep the survey anonymous

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