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12 Cards in this Set

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Bivariate Statistics
refers to two classes of statistical procedures both of which are concerned with investigating two variables simultaneously.
Test of Differences
evaluation of hypotheses that two or more groups differ significantly with respect to some variable
Measures of Association
evaluation of the degree to which two variables covary
Chi-Square (X2) Test
a statistical test which determines whether the distribution of frequencies in a cross-tabulated matrix of cells differs from frequencies expected on a chance basis
t-Test for Comparing 2 means
Used to test the significance of the difference between two means when the sample size is <30 and the population σ is unknown assuming that both samples are drawn from normal distributions, the variances of both populations are equal (homoscedasticity)and there is interval measurement
Z-test for Comparing Two Proportions
Used to test the significance of the difference between two sample proportions when the sample size is >30
One-Way Analysis of Variance
a technique that compares the means of more than two groups or populations. Analyzes the effects of a single treatment variable on an interval- or ratio-scaled dependent variable.
F-Test
a procedure to determine if there is more variability in the scores of one sample than in the scores of another sample.
F-Statistic
the ratio of the variance between groups to the variance within groups
Total Variance
the sum of within-group variance and between-group variance
Within Group Variance
variation of scores within a group due to random error or individual differences
Between Group Variance
variation of scores between groups due either to the manipulation of an independent variable or to characteristics of the independent variable