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Independent Sample T Test Assumptions

Independent Sample T Test Assumptions. Independent samples t test assumptions · you have a random sample · your data must be continuous · your sample data should follow a normal distribution or each . When this assumption is violated and the sample sizes for each group differ, the p value is not trustworthy.

Independent T Test In Spss Statistics Procedure Output And Interpretation Of The Output Using A Relevant Example Laerd Statistics
Independent T Test In Spss Statistics Procedure Output And Interpretation Of The Output Using A Relevant Example Laerd Statistics from statistics.laerd.com
Understanding your lab tests can be confusing, but if you know a few basic definitions you'll be able to confidently interpret your results. Assumptions for the independent samples t test · assumption of independence: Assumes that the variance of the two groups are .

Assumes that the variance of the two groups are .

Assumptions · independence of the observations. · no significant outliers in the two groups · normality. Each subject should belong to only one group. You have one dependent variable that is measured at the .


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