Definitions for **"T-test"**

hypothesis test which involves calculating a test statistic which has a t distribution under H0. This is used for testing for a difference between two means (two paired or independent samples) or testing whether a mean is equal to a particular value (one sample).

A statistical test of the difference between two “means.

A statistical test criterion in comparing two samples of data believed to be normally distributed.

a statistical test used to compare the means of two groups of test data

When a sample is too small to use a Z -test to analyse the results, a T-test is used to analyse a single mean value.

Assesses whether the means of two groups are statistically different from each other. Use this analysis if you want to compare the means of two groups.

(lower case): Statistical test for differences between an observed average value and a predetermined standard or between two observed average values. When the sample size is smaller than 30, the test statistic is known as a t-value and it is â€œlooked upâ€ in a statistical table to determine the p-value using the appropriate number of degrees of freedom based on sample size. When the sample size is larger than 30, the test statistic is called a z-value and degrees of freedom are not considered. EX: The installation directions for a piece of equipment say that its running temperature should be 110 o; is an average observed temperature over 40 trials of 112 o cause for alarm? The average completion time for a restoration using a new material on six restorations is 20 minutes. Is this faster than the average on ten trials with the old method and an average speed of 24 minutes? Can be performed as a hand calculation, support from Excel. {See templates â€“ Choosing a statistical test, t-test.

a comparison of means

an inferential test that determines if there is a significant difference between the means of two data sets

a simple procedure used to compare the means of two groups

a special case of ANOVA with subjects randomly selected from two groups and one observation taken on each subject

a streamlined version of a more general procedure for comparing differences, analysis of variance

A parametric statistical test of the difference between the means of two samples.

A statistical test done to test the difference of means of two samples.

A statistical test. A t-test is used to determine if the scores of two groups differ on a single variable. For instance, to determine whether writing ability differs among students in two classrooms, a t-test could be used.

The t-test is the most commonly used method to evaluate the differences in means between two groups. The groups can be independent (e.g., blood pressure of patients who were given a drug vs. a control group who received a placebo) or dependent (e.g., blood pressure of patients "before" vs. "after" they received a drug, see below). Theoretically, the t-test can be used even if the sample sizes are very small (e.g., as small as 10; some researchers claim that even smaller n's are possible), as long as the variables are approximately normally distributed and the variation of scores in the two groups are not too different.

Used to test if the difference between the means of two groups is large enough to be significant, in other words that we are confident the difference exists in the population.

A test that employs the statistic (t) to test a given statistical hypothesis about the mean(s) of a population

A parametric statistical test for determining whether the difference between two sets of scores is significant.

Statistical method for testing differences between two samples.

A statistical test of significance for a distribution that changes its shape as N gets smaller; based on a variable equal to the difference between the mean of the sample and the mean of the population divided by a result obtained by dividing the standard deviation of the sample by the square root of the number of individuals in the sample.