Basic Statistics in Python with NumPy and Jupyter Notebook

This tutorial introduces basic statistics using Python with NumPy and Jupyter Notebook. It starts by explaining what statistics is and its two subfields: descriptive and inferential statistics. Descriptive statistics summarize a dataset, while inferential statistics make inferences about a population from a sample. The tutorial then covers the mean and variance operations, which describe central tendency and spread, respectively. It also introduces histograms and probability mass functions (PMFs), which represent distributions of data. The tutorial concludes by highlighting the importance of considering context when working with data and how statistical concepts like PMFs can provide a more accurate view of a dataset's distribution.

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