StatPlus With StatPlus 2007, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface. The range of possible application
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StatPlus Description

User-friendly statistical software With StatPlus, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed through a simple and straightforward interface. The range of possible applications of StatPlus v5 is virtually unlimited - sociology, financial analysis, biostatistics, economics, insurance industry, healthcare and clinical research, probability calculations for lotteries and gambling operations - to name just a few fields where the program is already being extensively used. While StatPlus is a "heavy-duty" professional statistical analysis tool, the interface is so simple that even people who have no knowledge of statistics are capable of processing data, provided they know how to use PC and clear instructions are given. This frees up intellectual resources for analyzing the results, rather than agonizing over who and how processed the data, and if any mistakes were made in the process. Statistical features: * Basic Statistics - Detailed descriptive statistics - Comparing means t-Tests, Pagurova Criterion, G-Criterion. - Fisher F-test. - One sample and two samples z-tests. - Correlation coefficients (Pearson, Fechner) and covariation. - Normality tests (incl. 1990 D'Agostino's tests). - Cross-tabulation. - Frequency tables analysis (discrete/continuous). * Analysis of Variance (ANOVA) - One-way, two-ways, 3-ways analysis of variance - With post-hoc tests - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls. - General Linear Models (GLM) ANOVA. - Within subjects ANOVA and mixed models. * Data Classification - Discriminant function analysis. * Design of Experiments (DOE). - Latin and greco-latin squares analysis. * Nonparametric Statistics - 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.). - Chi-square test. - Rank correlations (Kendall Tau, Spearman R, Gamma, etc.). - Comparing independent samples - Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion;Kruskal-Wallis ANOVA, Median test. - Comparing dependent samples: Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. of Concordance. - Cochran Q Test. * Regression Analysis - Multivariate linear regression. - WLS regression. - Logistic regression. - Stepwise regression. - Polynomial regression. - Cox proportional-hazards regression. * Time Series Analysis - Moving average. - Interrupted time series analysis. - Fourier analysis. - Data processing - mean removal, differencing, exponential smoothing. * Survival Analysis - Cox proportional-hazards regression. - Probit-analysis (incl. Finney and MLS methods) with cumulation coefficient estimation. - Used for LD50 (ED50) calculation. * Power Analysis and Sample Size (PASS) - Prevalence survey sample size. - Binomial exact confidence interval. - Sample size needed to observe at least N events. - Sample size for a case-control study. * Data Processing - Sampling (random, periodic, conditional.) - Random numbers generation. - Transformations. - Standardization. - Stack/unstack operations. - Matrix operations. * Statistical Charts - From histogram up to box-plot. - Control chars - X-bar, R-chart, S-chart, P-chart, C-chart, U-chart, CUSUM-chart.

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