Implement data analysis and multivariate statistical analysis. 1. Probability analysis. 2. Compute descriptive statistics of selected data - compute probability density function values, cumulative density function values, quantile values, means and variances. 3. Frequency analysis. 4. Compare means- one sample t test, independent-samples t test and paired-samples t test. 5. Compare variances. 6. Variance analysis - one-way ANOVA and two-way ANOVA. 7. Univariate linear regression and multivariate linear regression. 8. Linear curve fitting and nonlinear curve fitting. 9. Excel-like data editor is easy to use. |
