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Under what circumstances would you use a t-test for dependent samples?
The dependent sample t-test is used when the observations or cases in one sample are linked with the cases in the other sample. This is typically the case when repeated measures are taken, or when analyzing similar units or comparable specimen.
What are the correct data requirements for a dependent sample t-test?
The paired sample t-test has four main assumptions:
- The dependent variable must be continuous (interval/ratio).
- The observations are independent of one another.
- The dependent variable should be approximately normally distributed.
- The dependent variable should not contain any outliers.
What does the dependent t test for paired samples do?
Dependent t-test for paired samples. What does this test do? The dependent t-test (also called the paired t-test or paired-samples t-test) compares the means of two related groups to determine whether there is a statistically significant difference between these means.
How is the two sample t test calculated?
Two-Sample T-Test from Means and SD’s. Introduction. This procedure computes the two -sample t-test and several other two -sample tests directly from the mean, standard deviation, and sample size. Confidence intervals for the means, mean difference, and standard deviations can also be computed.
What is the sample size of paired sample statistics?
Paired Samples Statistics gives univariate descriptive statistics (mean, sample size, standard deviation, and standard error) for each variable entered. Notice that the sample size here is 398; this is because the paired t-test can only use cases that have non-missing values for both variables.
What are the results of the paired samples test?
Paired Samples Test gives the hypothesis test results. The Paired Samples Statistics output repeats what we examined before we ran the test. The Paired Samples Correlation table adds the information that English and Math scores are significantly positively correlated ( r = .243).