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Organizing Qualitative Data

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Lesson 2 - 1 Organizing Qualitative Data Objectives Organize qualitative data in tables Construct bar graphs Construct pie charts Vocabulary Frequency Distribution ... – PowerPoint PPT presentation

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Title: Organizing Qualitative Data


1
Lesson 2 - 1
  • Organizing Qualitative Data

2
Objectives
  • Organize qualitative data in tables
  • Construct bar graphs
  • Construct pie charts

3
Vocabulary
  • Frequency Distribution lists each category of
    data and the number of occurrences for each
    category of data
  • Relative Frequency Distribution is the
    proportion (or percentage) of observations within
    a category
  • Bar Graph a graph showing frequency or relative
    frequency on the y-axis and categories on the
    x-axis
  • Pareto chart bar graph whose bars are drawn in
    decreasing order of frequency or relative
    frequency
  • Side-by-Side bar graphs use relative frequency
    since sample or population sizes may be different
  • Pie Charts circle divided into sectors each
    sector represents a category of data area is
    proportional to the frequency of the category
    all data must be represented

4
Different Views
5
Frequency Distributions Histograms
  • There are no hard and fast rules for constructing
    frequency distributions and histograms for
    continuous data since there are no natural
    categories. The way out of this dilemma is to
    define our own categories. One drawback is that
    individuals working with the same set of data,
    may construct distributions with different
    appearances. The reason for this variation lies
    in the choice of the number of classes to use and
    the choice of the width of the classes. Using too
    few classes gives an inaccurate picture by
    smoothing out too many details. Too many classes
    present too much detail and the overall view can
    be lost (forest and trees analogy).
  • Another problem is the adverse effect on
    histograms of outliers in the data. When outliers
    are present some artistic modification is
    required. Although somewhat arbitrary, the
    following rule is presented to allow for some
    uniformity in constructing frequency
    distributions and histograms.
  • The number of classes k to be constructed can be
    roughly approximated by
  •  
  • k ?number of observations
  •  
  • To determine the width of a class use w (max
    min) / k and always round up to the same
    decimal units as the original data.

6
Example 1
  • Construct a frequency distribution and a
    histogram.
  • Below are the net weight (in ounces) of 30 cans
    of peas from the Grumpy Blue Midget Company.
  •  
  • 16.2 15.8 15.8 15.8 16.3 15.6
  • 15.7 16.0 16.2 16.1 16.8 16.0
  • 16.4 15.2 15.9 15.9 15.9 16.8
  • 15.4 15.7 15.9 16.0 16.3 16.0
  • 16.4 16.6 15.6 15.6 16.9 16.3

7
Example 1 Graph
8
Summary and Homework
  • Summary
  • Charts help to display data more visually with
    fewer words
  • Homework
  • pg 67 73 6-8, 11, 13, 15, 22, 30
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