#Introduction
This packet consist of python code that can be used to find all basic statistical parameters and advanced statistical tests like T-test, Chi2 test, F test.
###Basic Parameters:
Mean, Median, Mode, Standard Deviation, Variance,Quartile, IQR, Percentile, Skewness, CoVariance, Z-Score, Outlier, Co-relation coefficient, Permutation, combination, factorial.
###Distributions:
Binomial
Poisson
Hypergeometric
Uniform
Exponential
To test Central Limit theorm with Uniform Distribution.
###Confidence Interval estimation:
With mean & proportion
Mean difference
Proportion difference
Population variance
###Hypothesis Test:
For mean: Upper tailed,lower tailed, two tailed test for both sample and population. Power in Hypothesis test for mean.
For proportion: Upper tailed,lower tailed, two tailed test for both sample and population.
For mean Difference:(Z test & T-test) Upper tailed,lower tailed, two tailed test for both sample and population.
For proportion difference:(Z test) Upper tailed,lower tailed, two tailed test.
For Population variance:(Chi2-test) Upper tailed,lower tailed, two tailed test.
For two Population variance:(F-test) Upper tailed,lower tailed, two tailed test.