Question

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

a. type i error
b. non - sampling error
c. sampling error
d. type ii error

Explanation:

• Type I Error: It is defined as rejecting the null hypothesis when it is actually true. This directly matches the description in the question.
• Non - sampling Error: This refers to errors not related to the sampling process (e.g., data entry errors, non - response bias in surveys). It has no relation to hypothesis rejection.
• Sampling Error: Occurs due to the fact that a sample is used instead of the entire population. It is about the variability in estimates from sampling, not hypothesis rejection.
• Type II Error: Is failing to reject the null hypothesis when it is false. Opposite of what the question asks.

Answer:

A. Type I Error