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] |