t-test


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t-test

 
any in a class of statistical tests used to find the difference between the means of either a sample and a population, two different sample groups, two matched samples, or the same sample at two different points in time.

t test

A statistical test used to compare the means of two groups of test data.

t-test

Student's t-test, see there.

t-test

(statistics) a test of SIGNIFICANCE that enables the means of two small samples (less than 30) to be compared, in order to assess if they came from the same population or from populations with different means.

t-test,

n an inferential statistic used to test for differences between two means (groups) only. This statistic is used for small samples (e.g.,
N < 30).="" also="" called="">
t-ratio, stu-dent's t.

t-test

a test of statistical significance which uses a formula from which a t value is derived. The value is then compared with a set of t-distribution tables to see whether the null hypothesis should be rejected or not.
References in periodicals archive ?
12) Statistical tests on offers Wilcoxon t-Test Test Comparing columns Male offers to males ($4.
However t-test analysis approached significance for emotional distress (t(48)=1.
A two-sample t-test was used to test the hypothesis that the hands-on lab experience made a significance difference in the students' perceived learning experience.
The parallel t-test will be displayed for comparison purposes.
Interval Equally-Weighted t-test Value-Weighted t-test Panel A: Nonexposed Porfolio (-01, 01) -1.
A t-test for independent samples for correlational analysis was used to compare differences between pretest/posttest scores.
Examples of agility tests include the Hexagon Test, 505 Agility Test, 40 yd Shuttle Run, and T-Test [5,7].
Among her topics are probability, the t-test, multiple linear regression, medical and epidemiological statistics, and critiquing statistics presented by others.
No significant changes in total, HDL, LDL cholesterol and triglycerides levels were seen in Groups I and II (paired t-test p > 0.
To be sure whether these differences were statistically significant, independent-samples t-test was carried out for every item.
An independent sample t-test revealed that males were more likely to be victims of cyber bullying with t (78) = 2.