Statistical Hypothesis Testing

Statistical Hypothesis Testing is a method of making decisions using data from a scientific study. It is a process of testing whether a hypothesis about a population parameter is supported by the evidence provided by a sample of data. The process involves formulating a null hypothesis and an alternative hypothesis, selecting a significance level, calculating a test statistic, and determining the p-value. If the p-value is less than the significance level, the null hypothesis is rejected in favor of the alternative hypothesis. This indicates that there is evidence to support the alternative hypothesis. If the p-value is greater than the significance level, the null hypothesis is not rejected. This indicates that there is not enough evidence to support the alternative hypothesis.
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