R-StatsCalc vs StatsCalc Utilisation & Stats

Short Description: Computes descriptive statistics of quantitative variables. Performs statistical tests and computes confidence intervals in one, two and multiple-sample situations. Provides regression analysis using linear, exponential and power-law models. Computes probabilities and quantiles for standard statistical distributions. Provides statistics features usually found on hand-held calculators. Accuracy of numerical results tested against Wolfram Mathematica. Features: Data Entry: Easy (list-based) entry of quantitative and categorical data, and two-way tables. Voice-based data entry (Siri) is possible. One-Sample Methods: Z-Test for the Mean. Z-Interval for the Mean. T-Test for the Mean. T-Interval for the Mean. Wilcoxon Signed Rank Test. Chi-squared Test for the Standard Deviation. Chi-squared Interval for the Standard Deviation. One-Proportion Z-Test. One-Proportion Z-Interval. Chi-squared Test for Goodness-of-Fit. Two-Sample Methods: Z-Test for Two Means. Z-Interval for Two Means. T-Test for for Two Means (Assuming Equal Variances). T-Interval for Two Means (Assuming Equal Variances). T-Test for for Two Means (Assuming Unequal Variances). T-Interval for Two Means (Assuming Unequal Variances). F-Test for for Two Standard Deviations. F-Interval for Two Standard Deviations. Two-Proportion Z-Test. Two-Proportion Z-Interval. McNemar Test. Multiple Sample Methods: One-way ANOVA. Chi-squared Test for Independence. Cochran's Q-Test Correlation and Regression: Two-Variable Descriptive Statistics. T-Test for Correlation. Linear Model Fit and Regression Analysis. Exponential Model Fit and Regression Analysis. Power-Law Model Fit and Regression Analysis. Spearman Rank Correlation. Probability Theory: Distribution Calculator: Contains methods for computing probabilities and quantiles for standard statistical distributions. Computes Mean, Variance and Standard Deviation for a Discrete Random Variable.