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: Eta^{2}, 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=j^{2} |

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] |