Title: EDF 5400
1EDF 5400
2t-Test with Correlation Coefficient...
3t-Test with Correlation Coefficient...
4If r .75 and n 5 ...
5If r .75 and n 5 ...
6If r .75 and n 5 ...
72nd Illustration t-Test with Correlation
Coefficient...
- High school data Correlation of motivation with
test scores (males) - Graphics
- Correlation and p-values
8Establishingconfidence 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
9Computing by hand confidence interval for ?
- Recall how we use the Fisher Z transformation
- If r .75 with n 5
10Computing by hand confidence interval for ?
- Recall how we use the Fisher Z transformation
- If r .75 with n 5
112nd example of computing confidence interval for ?
- Correlation between motivation and reading scores
- If r .2106 with n 600
12Computing by hand confidence interval for ?
- Correlation between motivation and reading scores
- If r .2106 with n 600
13Using Excel to compute confidence intervals for ?
- Excel Illustration on EDF 5400 Web Site
14Parametric versus Nonparametric Statistics.....
- Assumptions
- Level of scaling
- Statistical efficiency
- Availability of computer programs
- Illustrate with SPSS
- Techniques unique to nonparametric and parametric
statistics...
15Techniques 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)
16Chi-square distribution
17Chi-square distribution
18Chi-square distribution
19SPSS DemonstrationChi-Square Test of
Independence(Academic majors of females versus
males)
202nd SPSS DemonstrationChi-Square Test of
Independence(High School Data By race, number
of females versus males)