T-Test

Use: To compare means of two groups to determine if they are significantly different. To check if there is a statistically significant difference between the means of two groups. It's commonly used when you have a small sample size and want to understand if the means of two populations are significantly different.

Example: A pharmaceutical company wants to test if a new drug is more effective than a placebo in reducing blood pressure. They compare the average blood pressure measurements before and after treatment for both groups.

Column Requirement: Continuous data is required for two independent groups.

Steps:

1. Select two continuous columns, each representing a group (e.g., blood pressure before and after treatment).

2. Ensure that the data distribution is approximately normal or at least not highly skewed.

3. Perform the t-test after selecting the columns using the Test button.

4. Interpret the results and draw conclusions accordingly.