T-Test Calculator
Compare means of two groups to determine if they're statistically different.
Input Data
n = 5, mean = 26.60
n = 5, mean = 22.00
Results
T-Statistic
2.4730
✓ Statistically Significant
P-Value
0.013399
p < 0.05
Mean Difference
4.6000
Degrees of Freedom
8
Standard Error
1.8601
Understanding T-Tests
A t-test determines whether there's a statistically significant difference between the means of two groups. It's one of the most commonly used statistical tests.
Types of T-Tests
- Independent (Two-Sample): Comparing two separate groups (e.g., treatment vs control)
- Paired (Dependent): Comparing same group before/after (e.g., pre-test vs post-test)
Interpreting Results
- P-value < 0.05: Statistically significant difference (reject null hypothesis)
- P-value ≥ 0.05: No significant difference (fail to reject null hypothesis)
- Larger |t-statistic|: Stronger evidence of difference
Example
Comparing test scores between two teaching methods:
- Method A: 23, 25, 27, 28, 30 (mean = 26.6)
- Method B: 18, 20, 22, 24, 26 (mean = 22.0)
- Result: t = 3.46, p = 0.008 → Significant difference (Method A is better)