PARAMETRIC TESTS Flashcards
used to determine whether two population means are different when the variances are known and the sample size is large
Z TEST
used to determine whether the mean of a single sample is significantly different from a known or hypothesized population mean
ONE GROUP T TEST
used to determine whether the mean difference between two sets of observations is zero
PAIRED STUDENT T TEST
used to test whether the unknown population means of two groups are equal or not
TWO GROUP STUDENT T TEST
used to determine whether there are any statistically significant differences between the means
used for analyzing repeated measures of binary data, testing if proportions differ across multiple groups
ONE WAY ANOVA
compares the variances of two or more groups using ranks of squared deviations from group medians
SQUARED RANK TEST FOR VARIANCES
measures the strength and direction of a monotonic relationship between two variables based on rank order, not assuming linearity
SPEARMAN’S RANK CORRELATION COEFFICIENT TEST
used to estimate how the mean of a quantitative variable changes according to the levels of two categorical variables
TWO WAY ANOVA