The t-test and the one-way analysis of variance (ANOVA) are the two most common tests used for this purpose. The t-test is a statistical hypothesis test where the test statistic follows a Student’s t distribution if the null hypothesis is supported.

Paired samples t-tests typically consist of a sample of matched pairs of similar units, or one group of units that has been tested twice (a "repeated measures" t-test). A typical example of the repeated measures t -test would be where subjects are tested prior to a treatment, say for high blood pressure, and the same subjects are tested again

If your sample size is even (8 subjects in group 1 and 8 subjects in group 2) then analyze the first line only. If you have a significant test (#2), but you have unequal groups (8 subjects in group 1 and 15 subjects in group 2), use the t-test for unequal variances.

To run the One Sample t Test, click Analyze > Compare Means > One-Sample T Test. Move the variable Height to the Test Variable(s) area. In the Test Value field, enter 66.5, which is the CDC’s estimation of the average height of adults over 20.

A single sample t-test (or one sample t-test) is used to compare the mean of a single sample of scores to a known or hypothetical population mean. So, for example, it could be used to determine whether the mean diastolic blood pressure of a particular group differs from 85, a value determined by a …

t-test: Comparing Group Means One of the most common tests in statistics, the t-test, is used to determine whether the means of two groups are equal to each other. The assumption for the test is that both groups are sampled from normal distributions with equal variances.

A one sample t test compares the mean with a hypothetical value. In most cases, the hypothetical value comes from theory. For example, if you express your data as ‘percent of control’, you can test whether the average differs significantly from 100.

In addition, the difference between the 95 % confidence interval about the mean (Chap. 3) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Chap. 9 of this book.

The independent sample t-test compares one mean of a distinct group to the mean of another group from the same sample. It would examine the question, “Are old people smaller than the rest of the population?”The dependent sample t-test compares before/after measurements, like for example, “Do pupils’ grades improve after they receive tutoring?”

The one sample t-test is a statistical procedure used to determine whether a sample of observations could have been generated by a process with a specific mean. Suppose you are interested in determining whether an assembly line produces laptop computers that weigh five pounds.