Test Yourself

Take this quiz and see how you do. Select the correct answers by using the drop down menus. Once you are done, click submit to see your score! The ones that you get wrong will have a check!

1. If you have a random sample, the relationship you find in your sample will hold in the population.
2. Which of the following correlations is more likely to be statistically significant?
3. You find a correlation of .10. That correlation is most likely to be significant if your correlation is based on ____ observations.
4. You can conduct a t test on correlational data.
5. The median split is a common way of analyzing correlational data.
6. The median of the following the following numbers  (1, 2, 12, 3, 100)  is 12.
7. The median split has less power than a test that determines whether a correlational coefficient is greater than zero.
8. A multiple group ANOVA on correlational data allows you to have more power than a t test on those data.
9. If you want to know whether the relationship between outside temperature and aggression is curvilinear (as temperature increases, aggression increases up to a certain point), you should use
10. If you want to see whether gender and extraversion predict happiness, you should use
11. If an ANOVA finds a significant effect for extraversion on happiness, you can conclude that extraversion causes happiness.
12. If you do 100 analyses using a p = .05 level of significance, even if the variables are unrelated, you should expect five significant results. These significant results would be Type 1 errors ("false alarms").
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. You do a study of students with IQs between 115 and 120. You fail to find a relationship between IQ and grade-point average. The most likely reason for your failure is



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