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Statistical Data
Analysis Using
  SPSS Base
 The main focus of this course is statistical analysis,
  which involves both descriptive statistics and
  inferential statistics.
 The major concern of descriptive statistics is to
  present information in a convenient, usable, and
  understandable form.
 Descriptive statistics is used to describe a set of
  data in terms of its frequency of occurrence, its
  central tendency, and its dispersion.
 Inferential statistics, on the other hand, is not
  concerned with just describing the obtained
  data.
 It addresses the problem of making broader
  generalizations or inferences from sample data
  to population.
 This is the more complicated part of statistical
  analysis.
 A basic aim of inferential statistics is to use the
  sample scores for hypothesis testing.
 Hypothesis Testing
 Research Hypothesis vs. Null
  Hypothesis
 Level of Significance
 Type I and Type II Errors
 When a researcher is ready to test a
  specific hypothesis generated from
  a theory or to answer a research
  question posed, he or she is faced
  with the task of choosing an
  appropriate statistical procedure.
 First, for any hypothesis posited, the statistical
  procedure chosen must offer a legitimate test of
  the hypothesis; otherwise, no meaningful
  interpretation of the results can be made.
 Second, choosing an inappropriate statistical
  procedure can also mean choosing a less-than-
  robust test that fails to detect significant
  differences between group scores or significant
  relationships between pairs of variables.
1. The nature of the hypothesis
2.The levels of measurement of
   the variables to be tested
• Test of Difference
• Test of Relationship
The levels at which the variables
are measured determine the statistical
 test that is used to analyze the data.
 It stands for Statistical Product and Service Solutions.
 It originally stands for Statistical Package for the
  Social Sciences.
 Now renamed as PASW (Predictive Analytics
  Software)
 It is a comprehensive system for analyzing data.
 It can take data from almost any type of file and use
  them to generate tabulated reports, charts and plots of
  distributions and trends, descriptive statistics, and
  complex statistical analyses.
 SPSS Base
 SPSS Advanced Model

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Statistical analysis using spss

  • 2.  The main focus of this course is statistical analysis, which involves both descriptive statistics and inferential statistics.  The major concern of descriptive statistics is to present information in a convenient, usable, and understandable form.  Descriptive statistics is used to describe a set of data in terms of its frequency of occurrence, its central tendency, and its dispersion.
  • 3.  Inferential statistics, on the other hand, is not concerned with just describing the obtained data.  It addresses the problem of making broader generalizations or inferences from sample data to population.  This is the more complicated part of statistical analysis.  A basic aim of inferential statistics is to use the sample scores for hypothesis testing.
  • 4.  Hypothesis Testing  Research Hypothesis vs. Null Hypothesis  Level of Significance  Type I and Type II Errors
  • 5.  When a researcher is ready to test a specific hypothesis generated from a theory or to answer a research question posed, he or she is faced with the task of choosing an appropriate statistical procedure.
  • 6.  First, for any hypothesis posited, the statistical procedure chosen must offer a legitimate test of the hypothesis; otherwise, no meaningful interpretation of the results can be made.  Second, choosing an inappropriate statistical procedure can also mean choosing a less-than- robust test that fails to detect significant differences between group scores or significant relationships between pairs of variables.
  • 7. 1. The nature of the hypothesis 2.The levels of measurement of the variables to be tested
  • 8. • Test of Difference • Test of Relationship
  • 9. The levels at which the variables are measured determine the statistical test that is used to analyze the data.
  • 10.
  • 11.
  • 12.
  • 13.  It stands for Statistical Product and Service Solutions.  It originally stands for Statistical Package for the Social Sciences.  Now renamed as PASW (Predictive Analytics Software)  It is a comprehensive system for analyzing data.  It can take data from almost any type of file and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics, and complex statistical analyses.
  • 14.  SPSS Base  SPSS Advanced Model