Difference in Sample Means

Definition

The difference in sample means refers to calculating and comparing the means of two separate samples taken from two different populations. It helps determine if there is a significant difference between those populations.

Related terms

Hypothesis Testing:

Statistical analysis used to make decisions about whether there are significant differences between groups or variables.

Confidence Interval:

A range within which we estimate that an unknown population parameter lies with a certain level of confidence.

Null Hypothesis:

A statement being tested in hypothesis testing that assumes no significant difference between groups or variables.