Stat-200 A complex general statistics application package
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Stat-200 Description

Stat-200 is a very complex and flexible general statistics application package. It incorporates all the descriptive statistics, parametric and non-parametric statistical tests, graphics and data transforms you will need for processing, analyzing and presenting data. Parametric tests and procedures in Stat-200 total 60 and there are 66 non-parametric tests and procedures and 30 different descriptive statistics. ANOVA is comprehensive and includes general N factor analysis. Many unusual procedures are included e.g. survival analysis. All tests have associated information windows which give literature references and other facts to assist in getting the right one for the job. Probabilities are calculated directly so there is no need to use tables. Stat-200 has a state-of-the-art user interface with all its statistical and plotting modules easily selected from the logical tree views. Procedures you use frequently can be placed in a Favorites list for instant access. The workbook is a powerful tool for manipulating and selecting data. It can be any size, limited only by your computer hardware. More than 65 data transforms are supplied and there is a high-level language built-in to enable any transform to be programmed by the user. Data can be keyed-in and also either copied and pasted or dragged and dropped from spreadsheets. In addition, spreadsheet files in many formats can be directly opened. Stat-200 is readily integrated with databases and it supports Recordset tables for ODBC database connections enabling data and results to be easily passed back and forth. Main features: Wilcoxon's matched pairs Mann-Whitney U-Test Friedmann's test Kruskal-Wallis test Spearman rank correlation Kendall rank correlation Kendall partial rank correlation Kendall coefficient of concordance LogRank test Mantel-Haenszel test Kolmogorov-Smirnov test Phi-coefficient for 2x2 tables Cramer coefficient C Median test Extension of the median test Robust rank order test Siegel-Tukey test for scale differences Moses rank-like test for scale differences Cochran Q-test Jonckheere test for ordered alternatives Page test for ordered alternatives Chi-square test for k independent samples Kendall coefficient of agreement u Kappa statistic for nominally scaled data Gamma statistic for ordered variables Lambda statistic for asymmetrical association One-factor response curves and two-factor response surface plots(1st and 2nd order) Minimum spanning tree plots for 2 dimensions Levey-Jennings/Shewart Charts Sequential test for a population mean Sequential test for a standard deviation classification c-chart X-chart R-chart F-test for K population means (ANOVA) Z-test of a correlation coefficient Z-test of 2 correlation coefficients t-test of a correlation coefficient Hartley's test for equality of K variances Fisher cumulant test for normality of a distribution F-test for two population variances Z-test for correlated proportions The w/s test for normality of a population Cochran test for variance outliers Chi-square test for compatibility of K counts Cochran test for consistency in an nxk table of dichotomous data Normal probabilites Student's t probabilities F distribution probabilities Chi-Squared probabilities Transform by a spreadsheet formula Matrix operations: inverse matrix, transpose Matrix

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