# stats

## 15 terms

### The degrees of freedom for the chi-square test for independence is

The number of columns minus one, times the number of rows minus one

### Post-hoc comparisons

Examine any interesting differences between the means that show up after the study has been conducted

### 53. In the case of the analysis of variance, R2 is

b. The total variation of scores from the grand mean that is accounted for by the variation between the means of the groups

### 63. Spearman's rho handles curvilinearity in the relation between two variables by first converting all scores to

Ranks of original scores

### A person's predicted score on the criterion variable is found by multiplying that person's score on the predictor variable by a particular number called a _____ and then adding another number

Regression coefficient

### In a chi-square test, the variables usually are

Categorical (nominal)

### The main idea of a chi-square test is that you

Test how well the pattern of observed frequencies fits some expected pattern of frequencies

### The degrees of freedom for the chi-square test for goodness of fit is the

Number of categories minus one.

### When discussing the pattern in a contingency table, the word "independence" means

There is no relationship between the variables

### In a chi-square test of independence, the term "expected frequency" generally refers to

The distribution of people over categories on one variable expected if the distribution of people over categories on the other variable is completely unrelated to it

### If the means for all of the columns in a row x column factorial design are equal

There cannot be a significant column effect

### If you want to estimate the effect of being in a certain column of the design

Subtract the grand mean from the column mean

### If the grand mean plus the row effect plus the column effect equals the cell mean

there is no interaction

### If there are no effects due to the column variable or due to the row variable

there can still be an interaction of the row variable with the column variable

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