The distribution of the difference in sample means refers to the collection or pattern formed by all possible differences between two sample means drawn from different populations.
Related terms
Central Limit Theorem: States that if we have a large enough sample size, regardless of population shape, the sampling distribution for sample means will be approximately normally distributed.
Independent Samples: Two samples are said to be independent if knowing what happens in one has no effect on probabilities for what happens in another.
Hypothesis Testing: A statistical method used to make decisions about an assumption regarding a population parameter based on evidence provided by observed data.
"Distribution of the Difference in Sample Means" also found in: