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.
- Windows 8/7/XP/Vista
- Pentium II CPU
- 512 MB of RAM
||Free to try, $150.00 to buy|
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