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When to Use Which?
- Use Independent T-Test when comparing two separate groups (e.g., male vs. female, control vs. treatment).
- Use Dependent T-Test when comparing the same group before and after an event (e.g., pre-test vs. post-test).
1️⃣ Independent T-Test (Unpaired)
Used when comparing two separate, independent groups.
Example: Comparing blood pressure between two independent groups (e.g., treatment vs. control)
2️⃣ Dependent T-Test (Paired)
Used when comparing the same group before and after an intervention.
Example: Comparing students' test scores before and after a training program.
# Sample data (paired observations)
before = [85, 88, 90, 78, 82, 87, 91] # Scores before training
after = [90, 92, 95, 82, 85, 90, 96] # Scores after training
# Perform Paired T-Test
t_stat, p_value = stats.ttest_rel(before, after)
print(f"T-Statistic: {t_stat}")
print(f"P-value: {p_value}")
if p_value < alpha:
print("Reject the null hypothesis: The training had a significant effect.")
else:
print("Fail to reject the null hypothesis: No significant difference before and after training.")
Posted : 02/03/2025 7:34 am
