What is Paired T-Test?
A paired t-test determines whether the mean difference between two related groups is statistically significant. It's used when comparing measurements taken from the same subjects under different conditions, such as before-and-after scenarios in medical studies or quality testing.
Calculator
Before Treatment
After Treatment
Formula
t = (Md) / (sd/√n)
Where:
Md = Mean difference
sd = Standard deviation of differences
n = Sample size
How to Use
Enter paired measurements in 'Before' and 'After' fields. Ensure equal number of entries in both groups. Click Calculate to get t-value, degrees of freedom, and p-value. Results show statistical significance (p < 0.05). Clear button resets all inputs.
Development Process
- Designed HTML structure with input fields
- Styled interface using CSS
- Implemented t-test formula in JavaScript
- Added error handling for inputs
- Created dynamic result display
- Optimized for mobile responsiveness
- Added SEO meta tags
FAQs
1. When should I use paired t-test?
Use paired t-test when comparing two related measurements from same subjects under different conditions. Ideal for pre-post studies, matched pairs, or repeated measures designs with normally distributed differences.
2. What's the main assumption of paired t-test?
The key assumption is that the differences between pairs follow normal distribution. Sample data should be continuous, paired/matched, and have no significant outliers. Variance between pairs should be approximately equal.