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. 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
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