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Application

The Basic Statistics-Application Section deals with execution of the concepts explored in the Basic Statistics-Theory section using languages such as Python and R.

Basic statistics worked through as code in Python and R

For Descriptive Statistics, different Datasets are used to understand the various Measures of Frequency, Central Tendency, Variability and Shape while for Inferential Statistics, Z, T, F and Chi-Square tests are conducted along with calculating Correlation Coefficients.

The application section emphasizes less on drawing conclusions as this has been explored in the Theory section and focuses more on how the codes are to be structured and run. Also, most of the datasets used here are hypothetical and are made in a way to effectively illustrate the use of various statistical commands.

Basic Statistics in Python

pandas & NumPyscipy.statsstatsmodels z-testMatplotlib
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Basic Statistics in R

e1071t.test & chisq.testaov & cortable() & boxplot()
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