null hypothesis
Quick Summary
A null hypothesis is a statistical assumption that is tested to be accepted or rejected in favor of an alternative. It specifically posits that any observed difference in data, such as between two sample means, is due to random chance rather than a systematic cause.1
In hypothesis testing, the null hypothesis (denoted H0) is a tentative assumption about a population parameter. An alternative hypothesis (Ha) is then formulated, representing the opposite of the null hypothesis. Sample data is used to determine if the null hypothesis can be rejected. If rejected, the alternative hypothesis is considered true. For example, if a radio station assumes the average listener age is 30, the null hypothesis might be H0: μ = 30, with the alternative being Ha: μ ā 30.2
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