SYSTAT 12 - Exact Test 1.0 Powered by Cytel/StatXact

Problem in analyzing small datasets: Try SYSTAT Exact Test

In many elds of application of statistical methods, Highlights of SYSTAT Exact Test such as clinical trials and behavioral research, observed data are based on a small sample, are Exact tests on ordered and unordered x tables sparse or imbalanced and not particularly amenable Exact tests for independent binomial data to modeling. Therefore, the traditional way of Exact con dence intervals for odds ratios of inference, based on the p-value calculated from an binomial data asymptotic distribution of the test statistic, may not work in such situations, even if nonparametric Multiple Modes for p-value computation methods are used. Parametric inferences pose additional diculties due to the lack of ful llment of •The asymptotic value alone (ASYMPTOTIC option); the strong assumptions about the parent •The asymptotic value along with the exact p-value population. All these hurdles in the analysis of data (EXACT option); can be easily tackled by exact inference, which •The asymptotic p-value along with the Monte involves only simple assumptions about the data Carlo exact value (MC option). source and data behavior.

SYSTAT Exact Test for You:

SYSTAT provides an extensive set of exact inference procedures through its add-on module, EXACT TESTS 1.0. To support various data types and uses, EXACT TESTS oers a wide variety of test options:

Goodness-of-Fit Tests Two-Sample Tests K-Sample Tests Tests for Single Sample Rates and Proportions Tests for Binomial Responses Tests for Association

Use over 30 exact procedures in a familiar SYSTAT interface to:

- Analyze small datasets more accurately - Breakdown your data into sub-categories - Analyze rare outcomes in large datasets

# Copyright Information here # SYSTAT Exact Test 1.0 Powered by Cytel/StatXact

Following tests are available with SYSTAT Exact Test 1.0

Goodness of Fit Test Quade Test Chi Square Perform two-way analysis of variance on multiple variables Compare the sampling distribution with multinomial distribution Use Asymptotic, Exact & Exact Using Monte Carlo test type Use Asymptotic, Exact & Exact Using Monte Carlo test type Kendall's Concordance Test Kolmogorov- Smirnov Capture the relation between correlated data series Compare the sampling distribution with one of the seven specied distribu- Use Asymptotic, Exact & Exact Using Monte Carlo test type tions Kruskal-Wallis Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Perform one-way analysis of variance 2-Sample Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Sign Test ANOVA Test with General Scores Compare two related samples using sign test Perform one-way analysis of variance using general scores Use Asymptotic, Exact & Exact Using Monte Carlo test type Use Asymptotic, Exact & Exact Using Monte Carlo test type Wilcoxon Signed Rank Test Survival Tests Compare two related samples using Wilcoxon signed-rank test Compare multiple samples generated from censored survival data using Use Asymptotic, Exact & Exact Using Monte Carlo test type logrank and Breslow tests McNemar Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Compare two related samples using McNemar's test Rates & Proportion Use Exact test type. Binomial Test Marginal Homogeneity Test Estimate and test for proportion of successes Compare two related samples using marginal homogeneity test. Both samples Poisson Test should contain equal levels Estimate and test for homogeneity of Poisson rates Use Asymptotic, Exact & Exact Using Monte Carlo test type Use Asymptotic, Exact & Exact Using Monte Carlo test type Cohen’s Kappa Test Binomial Responses Test for agreement between two attributes both samples should contain equal Odds Ratio of Two Binomial Test levels. Test whether the odds ratio is unity. Samples are assumed to be related The level of agreement is estimated and corresponding condence interval is Use Asymptotic & Exact test type also computed at given level of signicance. Two Independent Binomials Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Compare two independent binomial proportions using Wilcoxon-Mann-Whitney Pearson Chi-square Test Test whether the distributions of two independent samples have the same Fisher Exact Test general shape using Wilcoxon-Mann-Whitney test. Likelihood Ratio Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Odds ratio Test Logrank Test Test for Association Compare two populations generating survival data with censored observa- Ordered and Unordered Responses tions Test the association between two attributes Using Use Asymptotic, Exact & Exact Using Monte Carlo test type Pearson Correlation Test Kolmogorov-Smirnov Test for 2 samples Spearman Correlation Test Compare two independent samples with respect to shape and location Goodman-Kruskal’s Gamma Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Kendall's Tau & Somer's D Test Wald-Wolfowitz Runs Test Nominal Responses Compare two independent samples with respect to shape and location using Test the association between two attributes using runs Pearson's chi-square Test Use Asymptotic, Exact & Exact Using Monte Carlo test type Goodman-Kruskal’s Tau Test K- Sample Test Likelihood ratio Test Friedman Test Contingency Coecients Test Perform two-way analysis of variance on multiple variables Uncertainty Tests Use Asymptotic, Exact & Exact Using Monte Carlo test type Fisherman-Freeman-Halton Test

Most tests (wherever appropriate) are provided with one- and two-tailed p-values. Based on the nature of test, user can go for their choice

Testimonial: “Congratulations on o ering the Fisher-Freeman-Halton exact test on R x C tables... I am delighted to nd ANOVA with general scores i.e. a randomization test on means” Prof. John Ludbrook Research Fellow University of Melbourne Department of Surgery Royal Melbourne Hospital

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