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Hypothesis testing is a statistical procedure used to evaluate whether there is enough evidence in a sample of data to support a specific claim or hypothesis about a population parameter. It involves formulating two competing hypotheses—the null hypothesis, which represents no effect or no difference, and the alternative hypothesis, which represents a claim of an effect or difference. Researchers use statistical tests to analyze the data and determine the likelihood of observing the sample results if the null hypothesis is true, ultimately deciding whether to reject or fail to reject the null hypothesis based on this analysis.
Hypothesis testing is a statistical procedure used to evaluate whether a hypothesis about a population parameter is supported by sample data.
Hypothesis testing is a statistical method used to determine if a hypothesis regarding a population parameter is backed by sample data.
Hypothesis testing is a statistical method used to determine whether there is enough evidence to reject a null hypothesis in favor of an alternative hypothesis, based on sample data.
Hypothesis testing is a statistical method used to assess if sample data supports a claim about a population parameter. It involves setting up competing null and alternative hypotheses, analyzing data with statistical tests, and deciding whether to reject or fail to reject the null hypothesis based on the likelihood of observing the sample results if the null were true.