Hypothesis Testing
Hypothesis testing is a statistical method used to determine whether a hypothesis about a population parameter is supported by the sample data. It 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. Hypothesis testing is widely used in data science to make decisions based on data and to draw conclusions about populations based on samples.
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