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Graphs with SPSS

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Bar Charts are used for graphical representation of Nominal and Ordinal data ... The Pie Chart is an alternative to the Bar Chart for Nominal and Ordinal data. ... – PowerPoint PPT presentation

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Title: Graphs with SPSS


1
Graphs with SPSS
  • Aravinda Guntupalli

2
Bar charts
  • Bar Charts are used for graphical representation
    of Nominal and Ordinal data
  • Height of the bar is proportional to the number
    of values in the category.
  • Select the icon for the chart type you want, and
    select the option under Data.
  • You can either show group of cases or groups of
    variables using bar chart.

3
Summaries for Groups of Cases
  • Categories of a single variable are summarized.
  • Bar height is determined by the Bars Represent
    option.
  • Example To see number of males and females from
    the Gender variable

4
Bar chart for SES
5
How to?
  • From the menus, choose Graphs, Bar
  • Select the icon for Simple and select Summaries
    for groups of cases.
  • Select Define.
  • Select a variable for the category axis and move
    it into the Category Axis box. This variable may
    be numeric, string, or long string.

6
Summaries of groups of variables
  • Two or more variables are summarized within
    categories of another variable.
  • Two or more Bars Represent variables (Var 1, Var
    2).
  • For example bar chart for gender and SES
    variables.

7
Clustered Bar chart (a)
For Numeric variable
8
How to?
  • From the menus, choose Graphs and Bar
  • Select the icon for Clustered and select
    Summaries of separate variables.
  • Select Define.
  • Select at least two variables and move them into
    the Bars Represent box. These variables must be
    numeric.
  • Select a category variable and move it into the
    Category Axis box. This variable may be numeric,
    string or long string.

9
Clustered Bar chart (b)
10
How to?
  • From the menus, choose Graphs and Bar
  • Select the icon for Clustered and select
    Summaries of groups of cases.
  • Select Define.
  • Select at least two variables and move them into
    the Bars Represent box.
  • These variables can be categorical.

11
Pie Diagram
  • The Pie Chart is an alternative to the Bar Chart
    for Nominal and Ordinal data.
  • The proportion of the Pie represents the
    categorys percentage in the population or
    sample.
  • Must identify slices.

12
Pie diagram
13
How to make pie diagram?
  • From the menus, choose Graphs and Pie
  • Select Summaries for groups of cases.
  • Select Define.
  • Select a variable and move it into the Define
    Slices by box. This variable may be numeric,
    string, or long string.

14
Boxplot
  • A boxplot consists of box and 2 tails.
  • The horizontal line inside the box tells the
    position of the median and its upper and lower
    boundaries are its upper and lower quartiles.
  • The tails run to the most extreme values.
  • boxplot in sum shows structure of the data along
    with its skewness and spread.

15
(No Transcript)
16
Boxplot
17
How to make a boxplot?
  • From the menus, choose Graphs and Boxplot
  • Select the icon for Simple and select Summaries
    for groups of cases.
  • Select Define.
  • Select the variable for which you want boxplots,
    and move it into the Variable box.
  • Select a variable for the category axis and move
    it into the Category Axis box. This variable may
    be numeric, string, or long string.

18
Histogram
  • A Histogram is a graphical representation of a
    frequency distribution for continuous data.
  • The height is proportional to the frequency of
    that class

19
Histogram (2)
20
How to make histogram?
  • From the menus, choose Graphs and Histogram
  • Select a numeric variable for Variable in the
    Histogram dialog.
  • Select Display normal curve to display a normal
    curve on the histogram.

21
Skewness
Negatively skewed
Positively skewed
22
  • Number of modal classes
  • A modal class is the one with the largest number
    of observations.

The modal class
A unimodal histogram
23
Number of modal classes
A modal class
A modal class
A bimodal histogram
24
Bell shaped histogram
Many Statistical techniques require normal
distribution. Histogram helps verify the shape
of population.
25
Scatter plot (1)
  • To know the relationships between two
    quantitative variables we are interested in we
    can use scatter plots.
  • A scatter diagram plots the value of one economic
    variable against the value of another variable.
  • It can be used to reveal whether a relationship
    exists and the type of relationship that exists.
  • A scatter plot can describe the relation between
    reading and writing scores.

26
Scatter plot (2)
27
Typical Patterns
Negative linear relationship
Positive linear relationship
No relationship
Negative nonlinear relationship
Nonlinear (concave) relationship
28
How to make scatter plots?
  • From the menus, choose Graphs and Scatter
  • Select the icon for Simple.
  • Select Define.
  • You must select a variable for the Y-axis and a
    variable for the X-axis. These variables must be
    numeric, but should not be in date format.
  • You can select a variable and move it into the
    Set Markers by box. This variable may be numeric
    or string.

29
P-P plots
  • Plots a variables cumulative proportions against
    the cumulative proportions of any of a number of
    test distributions.
  • Probability plots are generally used to determine
    whether the distribution of a variable matches a
    given distribution.
  • If the selected variable matches the test
    distribution, the points cluster around a
    straight line.

30
Normal P-P plot
31
How to make P-P plots?
  • From the menus, choose Graphs and P-P
  • Select one or more numeric variables and move
    them onto the Variables list.
  • Select a test distribution.

32
Q_Q plots
  • Plots the quantiles of a variable's distribution
    against the quantiles of any of a number of test
    distributions.
  • Probability plots are generally used to determine
    whether the distribution of a variable matches a
    given distribution.
  • If the selected variable matches the test
    distribution, the points cluster around a
    straight line.

33
How to make Q-Q plots?
  • From the menus, choose Graphs and Q_Q
  • Select one or more numeric variables and move
    them onto the Variables list.
  • Select a test distribution.

34
Normal Q_Q plot
35
Thank You
  • Wish you colorful time making graphs
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