This is more of a study design issue than something you can test for, but it is an important assumption of the one-sample t-test.Īssumptions #3 and #4 relate to the nature of your data and can be checked using Minitab.
However, you should check whether your study meets these two assumptions before moving on. You cannot test the first two of these assumptions with Minitab because they relate to your study design and choice of variables. Minitab AssumptionsĪ one-sample t-test has four assumptions. However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for a one-sample t-test to give you a valid result.
#How to do one mean confidence intervals on minitab 18 how to
In this guide, we show you how to carry out a one-sample t-test using Minitab, as well as interpret and report the results from this test.
The lecturer could use a one-sample t-test to compare the weekly study time of a sample of 20 students to the suggested 10 hours. Alternately, imagine that a lecturer believed her course required 10 hours of study time per week and wanted to determine whether students spent this amount of time studying. The academic could use a one-sample t-test to compare the GMAT score of the 100 participants against the national average. This population mean is not always known, but is sometimes hypothesized.įor example, imagine that an academic was conducting research on the relationship between exam performance and revision time, but wanted to first check whether his 100 participants reflected the national average in terms of their academic ability, measured in terms of their GMAT score. The one-sample t-test is used to determine whether a sample comes from a population with a specific mean. One-sample t-test using Minitab Introduction
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