T-tests are some of the most commonly applied statistical tests in all of math. If you pick up any research paper, chances are, you will see p-values in it. Learning to do T-tests by hand and finding the p-value (with the help of a T-distribution table) will help you understand how hypothesis testing works much …
A T-Test is a hypothesis test that we use in statistics to compare two data sets’ respective means. It is a kind of inferential statistics. It concludes if there is a significant difference between the two groups’ means, which otherwise could be related to a few attributes. For example, you can use a t-test to …
A hypothesis is an assumption of a scenario that is rejected or accepted based on the test result. There are two kinds of hypothesis testing method: Parametric test: variables are measured on an interval scale Non-parametric test: variables are measured on an ordinal scale There are two types of tests in a parametric test – …
In this article, we will achieve a clear understanding of The definition of t-test, different terminologies/ factors involved in conducting t-test like mean, variance, standard deviation, significance level, degree of freedom, t-value, and p-value, assumptions for t-test calculation, different kinds of t-tests, how to do the test for each kind of t-test, and how we …
In this article, we will get a piece of in-depth knowledge on: What is a T-test, and what are the different kinds of the t-test? What are the steps of calculating a t-test? How can you calculate the t-test using our t-test calculator? What is a T-test? In statistics, a t-test is used to compare …