Question

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

• 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.
• B. 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.
• C. 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.
• D. 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.

Answer 1

Answer: (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.

Answer 2

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.