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Assumptions #1, #2 and #3 are explained below: If these assumptions are not met, there is likely to be a different statistical test that you can use instead.
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However, you should check whether your study meets these three assumptions before moving on. You cannot test the first three of these assumptions with Minitab because they relate to your study design and choice of variables. The independent t-test has six "assumptions". However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for an independent t-test to give you a valid result.
Minitab express find necessary sample size how to#
In this guide, we show you how to carry out an independent t-test using Minitab, as well as interpret and report the results from this test. If you have two independent variables rather than one, you might want to run a two-way ANOVA instead. Alternately, if your independent variable is continuous, you might wish to run a linear regression analysis. Note: If you only have one sample, but wish to compare this to a known or hypothesized population mean, you will need to run a one-sample t-test. If you have more than two independent groups, you need to run a one-way ANOVA.
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Alternately, you could use an independent t-test to determine whether there is a difference in exam performance between males and females (i.e., the dependent variable would be "exam performance" and the independent variable would be "gender", which has two groups: "males" and "females"). The independent t-test (also known as an independent-samples t-test, independent-measures t-test or unpaired t-test) determines whether there is a statistically significant difference in the mean of a dependent variable between two unrelated, independent groups.įor example, you could use an independent t-test to determine whether there is a difference in stress levels amongst the long-term unemployed between households with children and households without children (i.e., the dependent variable would be "stress levels", and the independent variable would be "family status", which has two groups: "households with children" and "households without children"). Independent t-test using Minitab Introduction