What is an t Test? A t Test is comparing the means of two categories (e.g., male vs. female).
There are 3 types of t Tests:
- One-sample t Test (your sample vs. the population)
- Average height of people in this class (our sample) vs. average height of world population
- Paired sample t Test (same population, Time 1 vs. Time 2)
- How well you do on a methods test in December vs. how well you do on a methods test in February
- Independent sample t Test (two populations)
- Average GPA of Pepperdine students vs. USC students
Run a t Test
Paired Sample t Test
1. Click Analyze → Compare Means → One Sample T Test
Paired Sample t Test
1. Click Analyze → Compare Means → Paired Samples T Test
2. Move the two variables you want analyzed over to the right box and click OK
3. You’ll get an Output
How would you write this up?
A paired-samples t-test indicates that Secretary Clinton provides stronger leadership (M=1.85, SD=1.50) than does Mr. Trump (M=1.53, SD=1.47), t(577) = 2.87, p<.05.
*Notice: SD is italicized above
Independent sample t Test
1. Click Analyze → Compare Means → Independent Sample T Test