T-Test: What It Is With Multiple Formulas and When To Use Them

T-Score A large t-score, or t-value, indicates that the groups are different while a small t-score indicates that the groups are similar.

Understanding the T-Test A t-test compares the average values of two data sets and determines if they came from the same population.

Key Takeaways A t-test is an inferential statistic used to determine if there is a statistically significant difference between the means of two variables.The t-test is a test used for hypothesis testing in statistics.Calculating a t-test requires three fundamental data values including the difference between the mean values from each data set, the standard deviation of each group, and the number of data values.T-tests can be dependent or independent.

Student's t-test

Student's t-test

An Introduction to t Tests | Definitions, Formula and Examples

A t-test is an inferential statistic used to determine if there is a significant difference between the means of two groups and how they are related

A t-test is a statistical test that compares the means of two samples. It is used in hypothesis testing, with a null hypothesis that the difference in group means is zero and an alternate hypothesis that the difference in group means is different from zero. What does a t-test measure?

How To Perform T-Tests In Microsoft Excel

How to perform a t-test using Google sheets

How To Do A T Test In Google Sheets