How do you interpret the results of a hypothesis test, including p-values and confidence intervals, in the context of a given real-world data set?
Answer 1
Jordan Davis
Interpreting hypothesis test results involves evaluating the p-value and confidence interval. A p-value indicates the probability of observing the data if the null hypothesis is true. A low p-value (typically < 0.05) suggests rejecting the null hypothesis. Confidence intervals provide a range of plausible values for the parameter, indicating the precision and reliability of the estimate. If the confidence interval does not include the null hypothesis value, it supports rejecting the null hypothesis.
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