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EDF 5400

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Computing by hand confidence interval for. Recall how we use the Fisher Z transformation ... Excel to compute confidence intervals for. Excel Illustration on ... – PowerPoint PPT presentation

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Title: EDF 5400


1
EDF 5400
  • Tuesday, August 3

2
t-Test with Correlation Coefficient...
3
t-Test with Correlation Coefficient...
4
If r .75 and n 5 ...
5
If r .75 and n 5 ...
6
If r .75 and n 5 ...
  • SPSS Illustration

7
2nd Illustration t-Test with Correlation
Coefficient...
  • High school data Correlation of motivation with
    test scores (males)
  • Graphics
  • Correlation and p-values

8
Establishingconfidence interval for ?
  • Lower Limit ? ? ? Upper Limit
  • Using r ? 1.96 ?r will not work because
    correlation coefficient is not interval
  • Fisher Z transformation (Table E, p. 625)
  • Confusion between z and Z
  • Transformation more significant with larger
    values of r
  • Handling of negative values
  • Steps in computing confidence interval

9
Computing by hand confidence interval for ?
  • Recall how we use the Fisher Z transformation
  • If r .75 with n 5

10
Computing by hand confidence interval for ?
  • Recall how we use the Fisher Z transformation
  • If r .75 with n 5

11
2nd example of computing confidence interval for ?
  • Correlation between motivation and reading scores
  • If r .2106 with n 600

12
Computing by hand confidence interval for ?
  • Correlation between motivation and reading scores
  • If r .2106 with n 600

13
Using Excel to compute confidence intervals for ?
  • Excel Illustration on EDF 5400 Web Site

14
Parametric versus Nonparametric Statistics.....
  • Assumptions
  • Level of scaling
  • Statistical efficiency
  • Availability of computer programs
  • Illustrate with SPSS
  • Techniques unique to nonparametric and parametric
    statistics...

15
Techniques unique to nonparametric and parametric
statistics...
  • Unique to parametric techniques
  • Regression
  • Multiple correlation
  • Factor analysis
  • Unique to nonparametric techniques
  • Analyzing categorical data (e.g., chi-square
    tests)

16
Chi-square distribution
17
Chi-square distribution
18
Chi-square distribution
19
SPSS DemonstrationChi-Square Test of
Independence(Academic majors of females versus
males)
20
2nd SPSS DemonstrationChi-Square Test of
Independence(High School Data By race, number
of females versus males)
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