COMMON INFERENTIAL STATISTICAL TOOLS Flashcards
-used to determine if there is a significant difference between the means of TWO INDEPENDENT GROUPS
-compare means of two different groups to assess if there is a significant difference between them
INDEPENDENT SAMPLE T-TEST
-used to determine if there is a significant difference between the means of TWO RELATED GROUPS
-assess the impact of an intervention by comparing the means of the related samples
PAIRED SAMPLES T-TEST
-used to determine if the mean of a single sample is significantly different from a known or hypothesized mean
-sample mean vs. population mean
ONE SAMPLE T-TEST
an adaption of the independent samplent-test that does not assume equal variances between groups
WELCH’S T-TEST
used to determine whether there are any statistically significant differences between the means of THREE OR MORE INDEPENDENT SAMPLES
ONE WAY ANALYSIS OF VARIANCE (ONE-WAY ANOVA)
extends the capabilities of ANOVA by assessing MULTIPLE DEPENDENT VARIABLES simultaneously
MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA)
the nonparametric test for independent sample, comparinh not means, but ranks between two independent groups
MANN-WHITNEY U TEST
nonparametric test for paired samples, comparing not means, but ranks between two related groups
WILCOXON SIGNED RANK TEST
nonparametric test for comparing three or more independent groups
KRUSKAL WALLIS TEST
nonparametric alternative to repeated-measures ANOVA, comparing three or more related groups
FRIEDMAN TEST
-measure of the strength and direction of association between two variables on at least an interval scale
-draws a line of best fit
PEARSON PRODUCT- MOMENT CORRELATION COEFFICIENT
correlation used to measure the strength and direction of association that exists between one continuous variable and one dichotomous variable
POINT BISERIAL COEFFICIENT
used to discover if there is a relationship between two categorical variables
CHI-SQUARE TEST FOR INDEPENDENCE
the nonparametric measure of strength and direction of association between two ranked variables
SPEARMANS RANK CORRELATION
