Discuss the need for Statistical Hypothesis Testing with the help of an example. Explain types of Errors in Hypothesis Testing.

Statistical hypothesis testing is a formal procedure to make inferences or draw conclusions about a population based on a sample. It helps us determine if there is enough evidence in the data to support or reject a hypothesis about a population parameter. The need for hypothesis testing arises when we want to assess claims or assumptions about a population without testing every individual in it.

Key Components of Hypothesis Testing

1. Null Hypothesis (H₀): The hypothesis that there is no effect or no difference. It is assumed true until proven otherwise.

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