The purpose of hypothesis testing in statistics is to determine whether there is sufficient evidence in a sample of data to support a specific claim about a population parameter. This process helps researchers make informed decisions by assessing the likelihood of observed data under the null hypothesis, allowing them to either reject or fail to reject that hypothesis based on statistical analysis.

Hypothesis testing in statistics is a procedure used to evaluate the evidence for or against a claim or hypothesis. It involves setting up a null hypothesis (H0) and an alternative hypothesis (H1), collecting data, and analyzing the data to determine if it supports or contradicts the null hypothesis.