2 Sample T-test
What is 2 Sample T-test?
The 2 Sample T-test is a statistical test that allows you to compare the means of two independent groups to determine if there is a significant difference between them. It is commonly used to analyze data from experiments or studies where two different treatments or conditions are being compared. By conducting this test, you can determine if the difference between the means is due to chance or if it is statistically significant.
What are the types of 2 Sample T-test?
There are three main types of 2 Sample T-tests: 1. Independent Samples T-test: This type of test is used when the two groups being compared are unrelated or independent of each other. It compares the means of two different populations or groups. 2. Paired Samples T-test: This type of test is used when the two groups being compared are related or dependent on each other. It compares the means of the same population or group at different time points or under different conditions. 3. Welch's T-test: This type of test is used when the two groups being compared have unequal variances. It is a modified version of the Independent Samples T-test that provides accurate results even when the assumption of equal variances is violated.
How to complete 2 Sample T-test
To complete a 2 Sample T-test, follow these steps:
By following these steps, you can confidently complete a 2 Sample T-test and draw meaningful conclusions from your data.