Random sampling and independence of observations are assumptions of many statistical tests that should be taken into account while designing the research.

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Random sampling and independence of observations are important assumptions in statistical tests to ensure that the sample is representative of the population and that the observations are not influenced by each other. These assumptions should be carefully considered when designing a research study to ensure the validity and reliability of the results.

Random Sampling and Independence of Observations Are Assumptions of Many