Video - Two-sample t-test

The two-sample t-test is a statistical method used to compare the means of two independent samples of continuous data. It is used to determine whether the means of the two samples are significantly different from each other, taking into account the variability of the data within each sample.

The t-test calculates a t-value, which is then compared to a critical value from a t-distribution with degrees of freedom equal to the sum of the sample sizes minus two. If the calculated t-value is greater than the critical value, the null hypothesis of no difference between the means is rejected, indicating that there is a significant difference between the means of the two samples. The two-sample t-test is commonly used in a variety of research fields, including medicine, psychology, and engineering, to compare two groups or treatments.