Question:

What is the difference between a hypothesis test and a confidence interval?

Updated On: Aug 5, 2024
  • A hypothesis test is used to determine whether a difference between two groups is statistically significant, while a confidence interval is used to estimate the population mean.
  • A hypothesis test is used to determine whether a correlation between two variables is statistically significant, while a confidence interval is used to estimate the population proportion.
  • A hypothesis test is used to determine whether a regression model is statistically significant, while a confidence interval is used to estimate the population variance.
  • A hypothesis test is used to determine whether a model fits the data well, while a confidence interval is used to estimate the population standard deviation.
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The Correct Option is A

Solution and Explanation

The correct option is (A): A hypothesis test is used to determine whether a difference between two groups is statistically significant, while a confidence interval is used to estimate the population mean.
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