By Learn Statistics Easily
Compares two groups' means, assuming normality and equal variances.
Incorrect t-test applications can lead to flawed conclusions.
80% of studies may contain statistical errors, impacting solutions.
Independent, paired, and one sample. Each serves different needs.
Crucial for reliability. Use G*Power for calculations.
Each sample must be independent to avoid bias.
Residuals must follow a normal distribution. Use tests like Shapiro-Wilk.
If not normal, transform data or use nonparametric tests.
Variances should be similar. Verify with Levene’s test.
Follow steps for reliable results. Avoid common pitfalls.
Proper steps ensure valid t-test results. Check variances and normality.