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Graphs, Charts, and Tables - Describing Your Data

Graphs, Charts, and Tables - Describing Your Data. Frequency Distributions. A frequency distribution is the sum of a set of data that displays the number of observations in each of the distributions distinct categories or classes. Frequency Distribution of Years in College (Figure 2-1).

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Graphs, Charts, and Tables - Describing Your Data

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  1. Graphs, Charts, and Tables - Describing Your Data

  2. Frequency Distributions A frequency distribution is the sum of a set of data that displays the number of observations in each of the distributions distinct categories or classes.

  3. Frequency Distribution of Years in College(Figure 2-1)

  4. Relative Frequency The relative frequency is the proportion of total observations contained in a given category.

  5. Relative Frequency Distribution of Years in College(Figure 2-3)

  6. Grouping Data Into Classes • Continuous data: Data whose possible values are uncountable and which may assume any value in an interval. • Data array: Data that have been sorted in ascending or descending order. • Mutually exclusive classes: Classes that do not overlap. • All inclusive classes: A set of classes that contains all the possible values. • Equal width classes: Distance between lowest possible value and highest possible value in each class is the same.

  7. Steps for Grouping Data Into Classes • Step 1: Determine the number of groups or classes to use. • Step 2: Establish the class width.

  8. Class Width

  9. Steps for Grouping Data Into Classes • Step 1: Determine the number of groups or classes to use. • Step 2: Establish the class width. • Step 3: Determine the class boundaries for each class.

  10. Steps for Grouping Data Into Classes • Step 1: Determine the number of groups or classes to use. • Step 2: Establish the class width. • Step 3: Determine the class boundaries for each class. • Step 4: Count the number of values in each class.

  11. Frequency Histograms(Figure 1-2)

  12. Frequency Histograms A histogram shows three general types of information: • It provides visual indication of where the approximate center if the data is. • We can gain an understanding of the degree of spread, or variation, in the data. • We can observe the shape of the distribution.

  13. Histograms Showing Different Centers

  14. Histograms - Same Center, Different Spread

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