ch 17 and 18

1. Estimation that involves calculating a single descriptive statistic to estimate the population parameter.
5. (2 words) Group means on the dependent variable after adjusting for covariates.
6. Statistics that provide a means for drawing conclusions about a population.
7. Tests that involve estimation of a parameter, required measurements on at least an interval scare, and involve several assumptions.
8. (2 words) Used to make predictions from one independent variable to predict a dependent variable.
10. Techniques that fit data to straight line solutions.
11. Modeling that involves testing a hypothesized causal explanation of a phenomenon, typically with data from non experimental studies.
13. (2 Words) Hypothesis that states there is no relationship between variables.
14. Tail test that is used when researchers have a strong basis for the directional hypothesis.
15. (2 Words) also called a Type 1 error, It means to reject the null hypothesis which is in fact true.
17. Limits that show the upper and lower boundaries.
18. (2 Words) also called Type II error. We accept the null hypothesis when it is wrong.
19. used to test the significance of differences in group means for multiple dependent variables, considered simultaneously.

1. (2 words) relies on regression using least-squares estimation to study causal patterns among variables.
2. (2 words) indicates the proportion of variance unaccounted for by predictors.
3. (3 words) also called R, it shows the stern of relationship between several independent variables and dependent variable without showing direction.
4. (2 words) z scores, used to eliminate the problem of different means and standard deviations.
9. (2 Words) Tendency of statistics to fluctuate from one sample to another.
12. Analysis of covariance, used to compare the means of two or more groups.
16. Estimation that indicates a range of values within which the parameter has a specified probability of lying.