In: Statistics and Probability
29-34. Matching – fill in the blank with the correct response from A-E below:
A). ANOVA B). Pearson’s r C). Chi Square D). Multiple Regression E). t-test
29. ______ This parametric test analyzes the means between groups, to determine if the group means differ significantly from one another. This test helps reduce Type I errors, and is closely related to the t-test.
30. ______ This is a parametric test used when two measures are taken on one sample, or when measures are obtained from two closely related sample groups, to see if there is a difference between the two groups.
31. _______ This parametric test can be used to test the significance of the correlation coefficient between two variables measured at the interval or ratio level.
32. _______ This parametric test calculates an F statistic, which provides information about variation between group means.
33. ______A non-parametric test that is useful for identifying differences between groups, by analyzing nominal or ordinal data such as age and gender.
34. _______A parametric test used to determine the relationship among several independent variables on one dependent variable, by measuring ratios or interval data
29. A) _Anova_ This parametric test analyzes the means between groups, to determine if the group means differ significantly from one another. This test helps reduce Type I errors, and is closely related to the t-test.
30.E) t-test_ This is a parametric test used when two measures are taken on one sample, or when measures are obtained from two closely related sample groups, to see if there is a difference between the two groups.
31. _B) Pearson's R__ This parametric test can be used to test the significance of the correlation coefficient between two variables measured at the interval or ratio level.
32. _A) Anova__ This parametric test calculates an F statistic, which provides information about variation between group means.
33. C) Chi Square_A non-parametric test that is useful for identifying differences between groups, by analyzing nominal or ordinal data such as age and gender.
34. _D)_Multiple Regression__A parametric test used to determine the relationship among several independent variables on one dependent variable, by measuring ratios or interval data