Asked by Savannah Brooks on Sep 24, 2024
Verified
Type I errors are
A) False negatives
B) False positives
C) True negatives
D) True positives
Type I Errors
The incorrect rejection of a true null hypothesis, also known as a "false positive."
- Identify the differences between Type I and Type II errors, their root causes, and how they influence decisions in the business context.
Verified Answer
PP
Pooja Prajapat2 days ago
Final Answer :
B
Explanation :
Type I errors are false positives, which means that a test or experiment concludes that there is a significant effect or difference when in reality there isn't. In other words, the null hypothesis is rejected even though it is true.
Learning Objectives
- Identify the differences between Type I and Type II errors, their root causes, and how they influence decisions in the business context.