Python Data Analysis Bootcamp class 9 - 07 Types of Hypothesis Tests

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Hypothesis testing is a foundational concept in statistics, involving the design of experiments or tests on a sample to determine whether our sample is a representative reflection of the entire population. It provides a systematic and rigorous framework for evaluating the validity of assumptions about the population and allows us to draw meaningful conclusions about the population based on the observed sample data. By establishing a set of hypotheses, specifying a significance level, and using statistical tests, hypothesis testing helps us make informed decisions and inferences about the characteristics and parameters of the broader population.

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