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.
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