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The document differentiates between Z-test and t-test, highlighting that Z-test is used for large samples with known variance, while t-test is for small samples with unknown variance. It also contrasts correlation and regression, explaining that correlation measures the strength and direction of relationships, whereas regression predicts values and establishes cause-effect relationships. Both statistical tools serve distinct purposes in data analysis and hypothesis testing.

Author
oppokinga58
Language
EN