Beta, probability of making a Type II error, also values of regression β coefficients. measure of effect size δ Cohen’s Delta or difference, meaning change Δ Degrees of freedom df ratio (for use with ANOVA etc.) F F Fisher’s Hypothesis H Null hypothesis H0 Alternative hypothesis H1 Mean (arithmetic average) M Median Mdn Mean square MS Mean square error MSE Number in a subsample n Total number in a sample N Nonsignificant ns Probability p Partial correlation pr Pearson product-moment correlation r Pearson product-moment correlation squared r2 Spearman rank correlation coefficient rs Multiple correlation R Multiple correlation squared R2 Standard deviation SD Standard error SE Standard error of mean SEM Sum of squares SS Semipartial correlation sr Computed value of test t t Computed value of Wilcoxon test T Computed value of Mann-Whitney test U Abscissa (horizontal axis in graph) x Ordinate (vertical axis in graph) y A standard score; difference between one value in a distribution and the z mean of the distribution divided by the SD of internal consistency α Alpha; Cronbach’s index
β Beta, probability of making a Type II error, also values of regression coefficients. δ Cohen’s measure of effect size Δ Delta or difference, meaning change df Degrees of freedom F Fisher’s F ratio (for use with ANOVA etc.) H Hypothesis H0 Null hypothesis H1 Alternative hypothesis M Mean (arithmetic average) Mdn Median MS Mean square MSE Mean square error n Number in a subsample N Total number in a sample ns Nonsignificant p Probability pr Partial correlation r Pearson product-moment correlation r2 Pearson product-moment correlation squared rs Spearman rank correlation coefficient R Multiple correlation R2 Multiple correlation squared SD Standard deviation SE Standard error SEM Standard error of mean SS Sum of squares sr Semipartial correlation t Computed value of t test T Computed value of Wilcoxon test U Computed value of Mann-Whitney test x Abscissa (horizontal axis in graph) y Ordinate (vertical axis in graph) z A standard score; difference between one value in a distribution and the mean of the distribution divided by the SD α Alpha; Cronbach’s index of internal consistency