Test Yourself

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1. If you obtain a correlation of .20 in your sample, the variables are correlated in the population.
2. Which of the following correlations is more likely to be statistically significant?
3. You find a correlation of .40. That correlation is most likely to be significant if your correlation is based on ____ observations.
4. The only way to analyze data from correlational research is to use correlation coefficients.
5. The median split is the best way to analyze correlational data.
6. The median of the following the following numbers­­1, 2, 3, 12, 100­­ is 3.
7. The median split allows you to have more power than a test that determines whether a correlation coefficient is greater than zero.
8. An ANOVA allows you to have more power than a test that determines whether a correlation coefficient is greater than zero.
9. Unlike a test that determines whether a correlation coefficient is greater than zero, a multiple group ANOVA allows you to test for nonlinear relationships.
10. Unlike a test that determines whether a correlation coefficient is greater than zero, a multiple group ANOVA allows you to look at two or more predictors at once time.
11. You do a t test on correlational data. If you get a statistically significant effect, you can conclude that the predictor variable has an effect.
12. If you do many analyses using a p = .05 level of significance, your chance of making one or more false alarms (a Type I error) is about 5%.
13. Maria obtains several statistically significant correlations. Her results are most likely to be significant at the .05 level in a different sample if, in her original study, she
14. If you did a study using 30 participants and obtained null results, you might have obtained significant results had you used 60 participants.



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