Hypothesis Testing: Hypothesis testing involves making claims about parameters (such as means) based on available evidence (data). In this case, it would involve testing whether the difference in means between two populations is statistically significant.
Two-Sample T-Test: The two-sample t-test is a statistical test used to determine if there is a significant difference between the means of two independent groups. It helps assess whether the observed difference in sample means is likely due to chance or represents a true population difference.
Pooled Variance: Pooled variance refers to combining the variances of two samples from different populations into one overall estimate. This technique can be useful when assuming equal population variances for both groups being compared.