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Disclosure: when you buy through links on our site, we may earn an affiliate commission. Courses » Teaching & Academics » Test Prep » Minitab » AIGPEs Minitab Expert Simulation Exam for Hypothesis Testing. Conversely, if we fail to reject the null hypothesis we do not have statistical proof that the null hypothesis is true. Prepare for AIGPEs Certified Minitab Expert Certification Exam for Hypothesis Testing with Minitab and access 30 Qs. Because we fix the significance level to be small before the analysis (usually, a value of 0.05 works well), when we reject the null hypothesis, we have statistical proof that the alternative is true.
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However, in designing a hypothesis test, we set the null hypothesis up as what we want to disapprove.
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It also gives you a confidence interval for the population proportion (p). If the p-value is less than the significance level (denoted as α or alpha), then you can reject the null hypothesis.Ī common misconception is that statistical hypothesis tests are designed to select the more likely of two hypotheses. Minitab returns the test statistic (zp) and the P-value. You use a p-value, to make the determination. The alternative hypothesis is the statement you want to be able to conclude is true based on evidence provided by the sample data.īased on the sample data, the test determines whether to reject the null hypothesis. Usually the null hypothesis is a statement of "no effect" or "no difference". The null hypothesis is the statement being tested. A hypothesis test is rule that specifies whether to accept or reject a claim about a population depending on the evidence provided by a sample of data.Ī hypothesis test examines two opposing hypotheses about a population: the null hypothesis and the alternative hypothesis.