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Graphs, Charts, and Tables - Describing Your Data

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A frequency distribution is the sum of a set of data that ... data: Data whose possible values are uncountable and which may assume any value in an interval. ... – PowerPoint PPT presentation

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Title: Graphs, Charts, and Tables - Describing Your Data


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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