This video will explain what a t-test is, and how it is used.
What is a t-test?
A t-test is used to find out if two sets of data are significantly different from each other. It compares the two sets of data and their means. You could use a t-test to determine if a difference in grades exists between children attending a private or public school.
The t-test was developed by William Sealy Gosset. He was an employee at the Guinness brewery which did not allow employees to publish research. Gosset was able to convince his employer his work was not a trade secret and he was able to publish under the name “student”.
The t-test assumes the data follows a normal distribution and the variances of the two groups of data to be equal.
The t-test uses a null and alternative hypotheses. The null hypothesis states there is no difference between the groups. That is no difference exists in the grades between children attending a private or public school. The alternative or research hypothesis states a difference in grades between the two school systems exists.
The value resulting from a t-test tells us how likely the difference between the two groups could have happened by accident. This value is called the p-value. If the p-value is less than 0.05 then there is a statistically significant difference between the two groups.
A t-test is used to find out if a significant difference exists between two groups of data. Software is available which will allow you to run a t-test.
The library is committed to ensuring that members of our user community with disabilities have
equal access to our services and resources and that their dignity and independence is always respected. If you
encounter a barrier and/or need an alternate format, please fill out our Library
Print and Multimedia Alternate-Format Request Form. Contact us if you’d like to provide feedback: email@example.com