![]() Check the box of “Perform hypothesis test.”.Select “HtBk” as the “Samples in columns.”.Click the blank drop-down box and select “One or more samples, each in a column”.A new window named “One Samplet for the Mean” pops up.Click Stat → Basic Statistics → 1 Sample.Now we can run the one-sample t-test, knowing the data are normally distributed. If the data are not normally distributed, you need to use hypothesis tests other than the one sample t-test. Since the p-value of the normality is 0.275, which is greater than alpha level (0.05), we fail to reject the null and claim that the data are normally distributed. Alternative Hypothesis(H a): The data are not normally distributed.Null Hypothesis(H 0): The data are normally distributed.One sample t test is a hypothesis test to study whether there is a statistically significant difference between a population mean and a specified value. It helps us separate fact from fiction, and special cause from noise, when we are looking to make decisions based on data. Hypothesis testing is a critical tool in the Six Sigma tool belt. Hypothesis tests help to determine whether a hypothesis about a population or multiple populations is true with certain confidence level based on sample data. ![]() A hypothesis test is a statistical method in which a specific hypothesis is formulated about a population, and the decision of whether to reject the hypothesis is made based on sample data. We apply a one sample t test when the population variance (σ) is unknown and we use the sample standard deviation (s) instead. In statistics, a t test is a hypothesis test in which the test statistic follows a Student’s t distribution if the null hypothesis is true. By Denise Coleman on in How to with Minitab, Six Sigma What is a t Test? ![]()
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