Question

which error occurs when the null hypothesis is incorrectly rejected?
a. sampling error
b. type ii error
c. measurement error
d. type i error

Explanation:

• Sampling error: Refers to differences between sample and population due to sampling, not related to null hypothesis rejection.
• Type II error: Occurs when null hypothesis is not rejected when it is false.
• Measurement error: Due to inaccuracies in measurement tools or methods.
• Type I error: Defined as rejecting a true null hypothesis.

Answer:

D. Type I error