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Chapter 3: Displaying and Describing Categorical Data *Data Analysis *Frequency Tables, Bar Charts, Pie Charts Contingency Tables
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Titanic Who: People on the Titanic What: survival status, age, sex, ticket class When: April 14, 1912 Where: North Atlantic How: A variety of sources and internet sites Why: Historical interest
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Data Analysis Rule #1: Make a picture a display of your data will revewal thins you are not likely to see in a table of numbers and will help you THINK clearly about the patterns and relationships that may be hiding in your data Rule # 2: Make a picture A well-designed display will SHOW the important features and patterns in your data. A picture will also show you the things you did not expect to see: the extraordinary (possibly wrong) data values or unexpected patterns Rule # 3: Make a picture The best way to TELL others about our data is with a well- chosen picture.
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Picking a Display Determine if your variable is categorical or quantitative If categorical: frequency tables bar charts pie charts contingency tables If quantitative: wait till next chapter!
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Frequency Tables records the totals and the category names Example: ClassCount First325 Second285 Third706 Crew885
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Relative Frequency Table displays the percentages and category names Example: Class% First14.77 Second12.95 Third32.08 Crew40.21 Proportion: the fraction of data in each category (divide the counts by the total number of cases) Relative = Percent
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Bar Charts Displays the distribution of a categorical variable, showing the counts for each category next to each other for easy comparison. Bars should be the same width Bars should have spaces between them Axis should both be labeled with a title and/or scale
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Pie Charts shows the whole group of cases as a circle. They slice the circle into pieces whose size is proportional to the fractions of the whole in each category.
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Categorical Data Condition The data are counts or percentages of individuals in categories. Before you make a pie chart or a bar graph you must check this condition!!!
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