T-Test Statistical test
What is a T-Test?
A T-Test is a statistical hypothesis test used to determine if there is a significant difference between the means of two groups.
Types
Independent T-Test
- Compares means of two separate groups
- Example: Disease group vs. healthy group
Paired T-Test
- Compares means from the same group at two times
- Example: Before treatment vs. after treatment
One-Sample T-Test
- Compares sample mean to a known value
- Example: Is this group's mean different from 100?
Assumptions
- Data is continuous
- Samples are independent
- Data is approximately normally distributed
- Equal variances (can be adjusted)
Interpretation
- p < 0.05: Significant difference
- p >= 0.05: No significant difference
Related Terms
- P-Value: Statistical significance measure
- ANOVA: Compares more than two groups