Hypothesis Testing
Understand hypothesis testing to validate data patterns by comparing null and alternative hypotheses. Learn how to decide whether to accept or reject hypotheses using significance levels and p-values, preparing you to apply these concepts in practical data analysis.
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Hypothesis testing
During our analysis of the different datasets, we are often concerned with questions like whether males default more than females? Do self-driving cars crash more than normal cars? Does drug X help prevent/treat disease Y? To answer these questions, we can use another statistical technique known as Hypothesis Testing.
During data exploration, we discovered interesting patterns hidden in the data. Hypothesis testing enables us to confirm whether these patterns were present in the data by luck or by some real phenomena. ...