The difference in two means refers to comparing the means (averages) between two independent groups or populations. It helps determine if there is a significant difference between their respective means.
Think about two rival basketball teams competing against each other. The difference in their average scores can indicate which team performs better overall.
Independent Samples t-test: A statistical test used to compare means between two independent groups and determine if there is a significant difference.
Pooled Variance: A method used when comparing means between two groups, where we combine information about their variances into one estimate.
Null Hypothesis: A statement that assumes no significant difference exists between two groups or populations until proven otherwise through statistical analysis.
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