StatXact 10 Procedures Roadmap • 1. A Road Map to the Exact Procedures in StatXact 10 The number next to each procedure is the chapter and section of the StatXact User Manual in which the procedure is documented. Type of Data Type of Statistical Problem Binomial Nominal Categories Ordered or Ordinal Categories Continuous or Interval One Sample Binomial Test (11.3) Binomial C. Bi Binomial C.I. (11.3) Binomial Power (31.3) Runs Test (5.7) Multinomial Samples Chi-Square Goodness-of-Fit Test (5.3) Multinomial C.I. (11.4) Poisson Samples Test of Homogeneity of Poisson Rates (11.5) Poisson C.I.

(11.5) Chi-Square Goodness-of-Fit Test (5.3) Kolmogorov-Smirnov Goodness of Fit Test for Multinomial Distribution (5.4) Tests for Goodness-of-Fit Kolmogorov-Smirnov Test (5.4) Shapiro-Wilk Test (5.5) Lilliefors Test (5.6) Runs Test ( with cut-off) (5.7) Tests for Location Wilcoxon Signed Rank Test (6.5) Hodges-Lehmann C.I. For Median (6.6) Two Related Samples Conditional Inference Sign Test (6.4) McNemar’s Test (6.8) C.I. On Odds Ratio (13.3) Unconditional Inference Test for Equal Proportion (13.3) Test of Non-Inferiority (13.3) Test of Equivalence (13.3) C.I. Of Proportions (13.3) Sign Test (6.4) Marginal Homogeneity Test (6.9) Wilcoxon Signed Rank Test (6.5) Permutation Test with General Scores (6.7) Hodges-Lehmann C.I.

For Shift (6.6) Two Independent Samples: Unstratified Conditional Inference Fisher’s Exact Test (14.3) Pearson's Chi-Square Test (14.3) Likelihood Ratio Test (14.3) C.I. For Odds Ratio (14.3) Unconditional Inference Barnard’s Test of Superiority (14.3) Boschloo’s Test (14.3) C. For P2 -P1 & P2/P1 using 1 & 2 sided tests and Standardized Score Statistics (14.3) Test for Non-Inferiority (14.3) Test of Equivalence (14.3) Multinomial Samples Fisher-Freeman-Halton Test (20.7) Pearson's Chi-Square Test (20.5) Likelihood Ratio Test (20.6) Poisson Samples CI for Poisson Rate-Ratio (12.3) Tests for Location Wilcoxon Mann Whitney Test (7.4) Normal Scores Test (7.6), Savage Scores Test (7.7), Permutation Test with General Scores (7.13), Permutation Tests with MERT Scores (7.13), C.I.

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Tong hop game viet hoa full crack. For Common Odds Ratio (16.5) Tests for Scale Siegel-Tukey Test (7.8), Mood Test (7.11), Ansari-Bradley Test (7.9), Klotz Test (7.10), Conover Test (7.12) Tests for Location and Scale Lepage Test (7.15) Omnibus Tests Kolmogorov-Smirnov Test (7.16) Wald-Wolfowitz Runs Test (7.17) Tests for Location Wilcoxon Mann Whitney Test (7.4), Normal Scores Test (7.6), Savage Scores Test (7.7) Permutation Tests with General Scores (7.13) Permutation Tests with MERT Scores (7.13) Hodges-Lehmann C.I. For Shift (7.5) Tests for Scale Siegel-Tukey Test (7.8), Mood Test (7.11) Ansari-Bradley Test (7.9), Klotz Test (7.10) Conover Test (7.12) Omnibus Tests Kolmogorov-Smirnov Test (7.16) Wald-Wolfowitz Runs Test (7.17) Tests for Censored Survival Data Wilcoxon-Gehan Test (7.15), Logrank Test (7.14) Two Independent Samples: Stratified Test of Homogeneity of Odds-Ratios (16.4) Test for Common Odds-Ratio (16.5) C.I. For Common Odds-Ratio (16.5) Poisson Samples Test for Homogeneity of Poisson Rate-ratio.

StatXact 10 Infosheet • 1. The Most Popular Exact Inference Statistics Software StatXact® 10 has over 150 tests and procedures for exact inference statistical data and power analysis, more than any other statistical software package.

Worldwide, statisticians from across industries, academic centers, and government agencies turn to StatXact to help solve their most challenging research questions. What sets StatXact apart? Other statistical software relies on large-scale assumptions for inferences, risking incorrect conclusions from data sets that are not normally distributed. Instead, StatXact makes exact inferences by permuting data actually observed, eliminating the need for distributional assumptions. Statisticians and researchers find exact and nonparametric inference methods particularly useful with smaller sample size problems.