RESEARCH METHODOLOGY

Detailed explanation-1: -A t-test is an inferential statistic used to determine if there is a statistically significant difference between the means of two variables. The t-test is a test used for hypothesis testing in statistics.

Detailed explanation-2: -The between groups t-test is used when we have a continuous dependent variable and we are interested in comparing two groups. An example might be if there is experiment with an experimental and control group, or perhaps a comparison between two non-experimental groups like women and men.

Detailed explanation-3: -The two sample t-statistic calculation depends on given degrees of freedom, df = n1 + n2 – 2. If the value of two samples t-test for independent samples exceeds critical T at alpha level, then you can reject null hypothesis that there is no difference between two data sets (H0).

Detailed explanation-4: -The test statistic for a two-sample independent t-test is calculated by taking the difference in the two sample means and dividing by either the pooled or unpooled estimated standard error. The estimated standard error is an aggregate measure of the amount of variation in both groups.