sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true.

You are watching: A hypothesis is an assumption about a population parameter such as a mean or a proportion.


The alternative hypothesis, denoted by H1, represents the opposite of the null hypothesis and is believed to be true if the null hypothesis is found to be false.
The purpose of hypothesis statement is to draw a conclusion about the population parameter for which we do not have complete knowledge.

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represents the number of standard deviations between the sample mean and the population mean according to the null hypothesis.
When testing a hypothesis for mean, if population distribution is normal, sample size is small, and σ is unknown, which test is appropriate?
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