Index
-
- Alpha (α), see Type I error
- Alternate hypothesis
-
- Beta (β), see Type II error
- Biserial correlation
-
- small samples
- using SPSS
-
- Bonferroni correction procedure
-
- Categorical data
- Chi-square distribution table
- Chi-square goodness-of-fit test
-
- category frequencies equal
- category frequencies not equal
- computing
- using SPSS
-
- Chi-square test of independence
-
- computing
- using SPSS
-
- Contingency tables, 2 × 2
- Correlation coefficient
-
- biserial
- of a dichotomous variable and a rank-order variable
- of a dichotomous variable and an interval scale variable
- point-biserial
- Spearman rank-order
-
- Counts
- Cramer's V
- Critical value
-
- tables
-
- Cumulative frequency distributions
-
- Dichotomous scale
-
- continuous vs. discrete
-
- Divergence
-
- Effect size
-
- Cramer's V
- phi coefficient
-
- Factorials, table
- Fisher exact test
-
- computing
- using SPSS
-
- Friedman test
-
- computing
- critical values table for
- large sample approximation
- post hoc test for
- sample contrasts for
- small samples with ties
- small samples without ties
- using SPSS
-
- Histogram
- Homogeneity of variance
-
- Interval scale
-
- Kolmogorov–Smirnov one-sample test
-
- computing
- using SPSS
- Kolmogorov–Smirnov two-sample test
-
- computing
- using SPSS
- Kruskal–Wallis H test
-
- computing
- correction for ties
- critical values table for
- large sample approximation
- post hoc test for
- sample contrasts for
- small data samples
- using SPSS
- Kurtosis
-
- computing
- leptokurtosis
- platykurtosis
- standard error of
- using SPSS
-
- Leptokurtosis
- Likert scale
-
- Mann–Whitney U test
-
- computing
- confidence interval for
- critical values table for
- large sample approximation
- small samples
- using SPSS
-
- Mean
- Measurement scale
- Median
- Mode
-
- Nominal data
- Nonparametric tests, comparison with parametric tests
- Normal curve
-
- properties
-
- Normal distribution
-
- table
-
- Normality
-
- assumptions
- measures
-
- Null hypothesis
-
- Observed frequency distribution
- Obtained value
- Ordinal scale
- Ordinate of the normal curve
-
- computing
- table
-
- Outliers
-
- Parametric tests
-
- comparison with nonparametric tests
-
- Pearson product-moment correlation
-
- critical values table for
-
- Phi coefficient
- Platykurtosis
- Point-biserial correlation
-
- large samples approximation
- small data samples
- using SPSS
-
- Post hoc comparisons
- Power, see Statistical power
-
- Randomness, see Runs test
- Ranking data
-
- with tied values
-
- Rank-order scale
- Ratio scale
- Relative empirical frequency distribution
- Relative observed frequency distribution
- Runs test
-
- computing
- critical values table for
- large sample approximation
- referencing a custom value
- referencing a custom value using SPSS
- small data samples
- using SPSS
-
- Sample size
- Sample contrasts
- Scale, see Measurement scale
- Sign test
-
- computing
- large sample approximation
- small samples
- using SPSS
-
- Skewness
-
- computing
- standard error of
- using SPSS
-
- Spearman rank-order correlation
-
- computing
- computing Student's t
- computing z
- critical values table for
- small data sample with ties
- small data sample without ties
- using SPSS
-
- SPSS
- Standard deviation
- Standard error
-
- of kurtosis
- of skewness
-
- Statistical power
- Symmetry
-
- Transformation
- Type I error
- Type II error
-
- Variance
-
- homogeneity
-
- Wald–Wolfowitz test
- Wilcoxon rank sum test
- Wilcoxon signed ranks test
-
- computing
- confidence interval for
- critical values table for
- large sample approximation
- small samples
- using SPSS
-
- Wilcoxon W
-
- Yates's continuity correction
-
- z-score
-
- table
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