Ministat Pro

Description

----Methodologies and E-books---
Regression analysis:-
Multiple linear regression
Poisson log-linear regression
Binary logistic regression

ANOVA: One-Way-ANOVA
Chi-squared tests:-
Test of association
Goodness of fit test

T-tests:-
One sample t-test
Two sample t-test
Paired t-test

Variance tests:
Chi square test on variance
F-test two compare two variances
Leven's test on homogeneity of variances

Correlation test:-
Pearson correlation test

Random number Simulation from:-
Normal distribution
Exponential distribution
Beta distribution
Uniform distribution
Binomial distribution

CDF and Inverse CDFs of:-
Normal distribution
Student t-distribution
Chi-squared distribution
F-distribution

Re-sampling:-
sampling without replacement
Sampling with replacement

Graphs:-
Bar-Chart
Pie-Chart
Scatter plot
Normal probability plot
Timeseries plot

Frequency distribution:-
Grouped
Ungrouped

Summary measures:-
Mean, Median, Mode
Variance and standard deviations
Skewness, kurtosis , quartiles
Min, Max and range



E-books full course :-
Basic Statistics
Probability theory
Statistical Methods
Statistical inference:
Linear regression analysis
Statistical Methods
Survival analysis


Data management tools.