extra credit stats types

Question 1

• Examining the relationship between to variables

Answer 1

Bivariate anlysis

Question 2

Usually used when you have two nominal variables you want to compare
* Can simply use cross-tabulation tables
* Can also use Chi-square (2) to test for statistical significance

Answer 2

Contingency tables

Question 3

Used to test whether group means are statistically significantly different from each
other
* Independent samples t-tests versus paired(aka dependent) samples t-tests

Answer 3

T-tests

Question 4

Again, used for assessing the relationship between two variables (review previous
slide on correlation types)
* If we square the correlational value, we have the proportion of explained variance

Answer 4

Correlations

Question 5

Principally used to determine whether three or more groups significantly vary in
relation to each other
* We can determine if the mean values of a measure for each group are significantly different from each other
* Example: we have three groups of officers and want to know whether the number of arrests significantly differ between groups

Answer 5

ANOVAs

Question 6

Based on the principle that over time things tend to regress toward the mean
* Use one variable (IV) to predict another variable (DV)
* Several assumptions must be met in order to use linear regression (Normality,
linearity, homoscedasticity)

Answer 6

Bivariate regression

Question 7

Same as above, but you are assessing the predictive potential of multiple IVs and control variables in relation to a dependent variable

Answer 7

multivariate regression