What is a dependent samples t-test?
The dependent sample t-test is a member of the t-test family. 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 is a dependent two sample t-test?
The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure used to determine whether the mean difference between two sets of observations is zero. In a paired sample t-test, each subject or entity is measured twice, resulting in pairs of observations.
What is the difference between independent t-test and dependent t-test?
Dependent samples are paired measurements for one set of items. Independent samples are measurements made on two different sets of items. If the values in one sample affect the values in the other sample, then the samples are dependent.
What are the assumptions for a related samples t-test?
The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality of data distribution, adequacy of sample size, and equality of variance in standard deviation.
What is an example of a dependent sample?
In dependent samples, subjects in one group do provide information about subjects in other groups. For example, statisticians often consider different samples that include pairs of siblings to be dependent because one sibling can provide information about another sibling for some measurements.
What is dependent sample?
Dependent samples are paired measurements for one set of items. If the values in one sample affect the values in the other sample, then the samples are dependent. If the values in one sample reveal no information about those of the other sample, then the samples are independent.
What type of relationship does a dependent t-test assess?
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.