Question

1. which error occurs when the null hypothesis is incorrectly rejected?

a. sampling error
b. type i error
c. type ii error
d. measurement error

Explanation:

In hypothesis testing, a Type I error occurs when the null hypothesis (\(H_0\)) is true, but we incorrectly reject it. Sampling error is related to the difference between sample and population statistics due to sampling variability. A Type II error is when we fail to reject a false null hypothesis. Measurement error is related to inaccuracies in data collection.

Answer:

B. Type I error