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This guide explores two fundamental statistical methods: confidence intervals and hypothesis testing. Confidence intervals provide a range of values that likely contain the population parameter, helping to gauge the precision of estimates. Hypothesis testing is a systematic approach to determine whether a certain claim about a population parameter is true or false based on sample data. Learn the key concepts, formulas, and applications of these methods to enhance your statistical analysis skills.
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