CH17&18

2. This type of analysis is a method for studying casual patterns among variables.
6. This term refers to the number of observations free to vary about in parameter. (three words!)
9. This type of modeling involves testing a hypothesized casual explanation of a phenomenon.
11. This hypothesis states that there is no relationship between variables
13. this is the parametric procedure for testing differences between means when there are three or more groups.
14. this is the extension of ANOVA to more than one dependent variable.
15. Researchers compute this instead of critical regions with their data. (two words)
17. This type of regression analyzes the relationship between multiple independent variables and a dependent variable and yields a predictive equation
18. The two most frequently used significance levels 0.05 and 0.01 are referred to as what?
19. This type of "t-test" is utilized when means for two sets of data are not independent. (5 words.....not really just one, or is it?)

1. Adjusted means allows researchers to determine this (two words)
3. Researchers may apply this when they run multiple tests to establish a more conservative alpha level (two words)
4. This reflects the ratio of two probabilities: the probability of an event occurring, to the probability that it will not occur.
5. This type of analysis is used to make predictions, in the simple form one independent variable is used to predict a dependent variable
6. This type of analysis makes predictions about membership in groups.
7. This type of regression model enters all predictor variables into the regression equation at the same time.
8. This class of statistical test does not estimate parameters.
10. ________ exact test should be used to test the significance of differences in proportions.
12. This type of distribution is the probability of "successes" in a sequence of independent yes/no trials
16. Multicollinearity can be diagnosed by computing an index of ________.