| Utilities | ||
| Statistical Tables Calculator | ||
| Convert to Standard Scores | ||
| Data Transformation | ||
| Randomizer | ||
| Estimation of a Sample’s Mean and Variance from Its Median and Range | ||
| Note Pad | ||
| Simple Graph Maker | ||
| Pocket Calculator | ||
| PDF & Excel Downloads | ||
| Clinical Research Calculators | ||
| Calculators 1-3. For prevalence, sensitivity, specificity, predictive values, likelihood ratios, etc. | ||
| Kaplan-Meier Survival Probability Estimates | ||
| Kappa as a Measure of Concordance in Categorical Sorting | ||
| Chi-Square, Cramer's V, and Lambda for a Rows by Columns Contingency Table | ||
| McNemar's Test for Correlated Proportions in the Marginals of a 2x2 Contingency Table | ||
| Simple Logistic Regression [the plain-vanilla version] | ||
| Simple ROC Curve Analysis | ||
| Estimation of a Sample’s Mean and Variance from Its Median and Range | ||
| Probabilities | ||
| Randomness and the Appearence of Pattern [Demo] | ||
| For Sequential Sampling: Pascal (Negative Binomial) Probabilities | ||
| Backward Probability Template | ||
| Bayes' Theorem: Conditional Probabilities | ||
| Bayes' Theorem: Adjustment of Subjective Confidence | ||
| [See also: Clinical Research Calculators.] | ||
| Distributions | |||||||||||||||||||||||||||||||||||||||||||||||||||
Sampling Distribution Generators~| ~ | Binomial Distributions | ~ | Poisson Distributions | ~ | Chi-Square Distributions | ~ | t-Distributions | ~ | Distributions of the Pearson Product-Moment Correlation Coefficient | ~ | Normal Distributions | ~ | Distributions of Sample Means | ~ | Distributions of Sample Mean Differences |
| Central Limit Theorem [Text & Demo] |
| z to P Calculator |
| Standard Error of Sample Means |
| Standard Error of the Difference Between the Means of Two Samples | | |||||||||||||||||||||||||||
| Procedures Applicable to Categorical Frequency Data | ||
| Exact Binomial Probability Calculator | ||
| Binomial z-Ratio Calculator | ||
| Poisson Approximation of Binomial Probabilities | ||
| Fitting an Observed Frequency Distribution to the Closest Poisson Distribution | ||
| For Sequential Sampling: Pascal (Negative Binomial) Probabilities | ||
| Chi-Square "Goodness of Fit" Test | ||
| Kolmogorov-Smirnov One-Sample Test | ||
| Fisher Exact Probability Test | ||
| Phi Coefficient of Association | ||
| Rates, Risk Ratio, Odds, Odds Ratio, Log Odds | ||
| 2x2 Chi-Square | ||
| McNemar's Test for Correlated Proportions in the Marginals of a 2x2 Contingency Table | ||
| Fisher Exact Probability Test for Tables Larger than 2x2 | ||
| Chi-Square, Cramer's V, and Lambda for a Rows by Columns Contingency Table | ||
| Log-Linear Analysis for a 3-Way Contingency Table | ||
| Kappa as a Measure of Concordance in Categorical Sorting | ||
| Procedures Applicable to Proportions | ||
| The Confidence Interval of a Proportion | ||
| The Confidence Interval for the Difference Between Two Independent Proportions | ||
| Significance of the Difference Between Two Independent Proportions | ||
| McNemar's Test for Correlated Proportions in the Marginals of a 2x2 Contingency Table | ||
| Procedures Applicable to Ordinal Data | ||
| Rank-Order Correlation | ||
| Mann-Whitney Test | ||
| Wilcoxon Signed-Ranks Test | ||
| Kruskal-Wallis Test | ||
| Friedman Test | ||
| Correlation & Regression | ||
| Basic Linear Correlation & Regression | ||
| Matrix of Intercorrelations | ||
| Multiple Regression | ||
| 0.95 and 0.99 Confidence Intervals for r | ||
| Estimating the Population Value of rho on the Basis of Several Observed Sample Values of r | ||
| Test for the Heterogeneity of Several Values of r | ||
| The Significance of an Observed Value of r | ||
| Significance of the Difference Between Two Independent Values of r | ||
| Significance of the Difference Between an Observed Value of r and a Hypothetical Value of rho | ||
| First- and Second-Order Partial Correlations | ||
| Phi Coefficient of Association | ||
| Point Biserial Coefficient | ||
| Correlation for Unordered Pairs: Eta2, Intraclass Correlation, & Resampling of r | ||
| Simple Logistic Regression | ||
| t-Tests and Procedures | ||
| t-Tests for the Significance of the Difference Between the Means of Two Samples (independent or correlated) | ||
| Single Sample t-Test | ||
| 0.95 Confidence Interval for the Estimated Mean of a Population | ||
| Analysis of Variance | ||
| One-Way ANOVA for Independent or Correlated Samples | ||
| Two-Way Factorial ANOVA for Independent Samples | ||
| Two-Factor ANOVA with Repeated Measures on One Factor | ||
| Two-Factor ANOVA with Repeated Measures on Both Factors | ||
| 2x2x2 ANOVA for Independent Samples | ||
| Orthogonal Latin Square Designs for n=j2 | ||
| Analysis of Covariance | ||
| One-Way ANCOVA for Independent Samples | ||
| Two-Way Factorial ANCOVA for Independent Samples | ||
| Miscellanea | ||
| Basic Sample Stats | ||
| Resampling Probability Estimates for the Difference Between the Means of Two Independent Samples | ||
| The Power of the Chi-Square "Goodness of Fit" Test [Text & Demo] | ||