Statistics Using Python

Implementing all the statistical techniques using python

Requirments :

• Python 3.7
• statistics
• Numpy ($ pip install numpy)
• Pandas ($ pip install pandas)
• Scipy ($ pip install scipy)
• seaborn ($ pip install seaborn)
• MatplotLib ($ pip install matplotlib)

Contents :

• Measure of central tendency
  • Mean
  • Median
  • Mode
  • Measure of Variability
• Standard Deviation
  • Variance
  • Range
  • Quartiles
• Discrete Probability Distribution
  • Bernoullis Distribution
  • Binomial Distribution
  • Poisson Distribution
• Continuous Probability Distribution
  • Uniform Distribution
  • Normal Distribution
  • Exponential Distribution
• Testing of Hypothesis
  • Parametric Test
    • Z-Test
      • Mean of Single Population
      • Mean of difference between two populations
      • Proportion of single population
      • Difference between Proportion of two population
    • T-Test
      • Unpaired Testing mean of single population
      • Unpaired Testing difference between means of two populations
      • Paired Testing mean of single population
    • Fishers F-test
    • Anova
      • One Way Anova
      • Two Way Anova
  • Non Parametric Test
    • Chi-Square Test
    • Mann-Whitney Utest
    • Wilcoxon Signed Rank test
    • Kruskal-Wallis Test