InnerSoft STATS for Windows

InnerSoft STATS compute statistics for parameter estimation and Statistical hypothesis testing. Descriptive Statistics: Mean, Variance, Standard deviation, Coefficient of variation, Quartiles, Percentiles, Skewness, Kurtosis, Mode, Interquartile range, Sum of Squares. One-Sample Test: One-sample z-test, One-sample t-test, Chi-squared test for variance.Two-Sample Test: Student's t-test for Independent samples (pooled t-test for equal variances and unpooled t-test for unequal variances), Student's t-test for Paired samples, Two-sample F-test of equality of variances.One-Way ANOVA with multiple comparisons methods: Scheffe, Tukey HSD, Sidak, Fisher LSD, Bonferroni. Welch’s Test for equality of means, Brown–Forsythe Test for equality of means

Homoscedasticity Test: Levene's Test, Brown–Forsythe Test for equality of variances, Bartlett's Test. Bivariate Correlation Tests: Matrix of covariances, Pearson Product-Moment Correlation Coefficients, Kendall's Tau-b Correlation Coefficients, Spearman’s Correlation Coefficients. Parametric Value at Risk by the Variance-Covariance Method for single assets and portfolios. Marginal Value at Risk, Component Value at Risk, Incremental Value at Risk, Conditional Value at Risk, Expected Shortfall, Expected Tail Loss or Average Value at Risk. Pearson Chi-Square Test, Yates's Continuity Correction, Likelihood Ratio G-Test, Mantel-Haenszel Chi-Square Test, Fisher’s Exact Test, McNemar asymptotic, Edwards Continuity Correction, McNemar Exact Binomial, Mid-P McNemar Test, McNemar-Bowker Test, Odds Ratio, Relative Risk, Attributable risk, Relative Attributable Risk, Number Needed to Harm, Attributable Risk per Unit, Etiologic Fraction, Cohen's Kappa Test.

InnerSoft STATS has a very easy organization by windows. A worksheet window, an ouptut windows and a Manager Project windows makes the soft very easy to use. ISSTATS work with on–memory data (no database storage). Thus it can compute quickly. In the other hand, memory usage is huge. ISSTATS can handle millions of data. Intended for all types of mathematicians, statisticians, and all kind of scientists that need to make population studies through a sample.