Asked by sanyam chawla on May 12, 2024
Verified
A Type II error occurs when
A) a good lot is rejected.
B) a bad lot is accepted.
C) the population is worse than the LTPD.
D) the proportion of defectives is very small.
E) a good lot is accepted.
Type II Error
Statistically, the probability of accepting a bad lot.
Bad Lot
A batch of products that fails to meet quality specifications or standards, often leading to rejection or rework.
LTPD
The Lot Tolerance Percent Defective, which refers to the maximum acceptable defect rate in a sample lot for the lot to be accepted.
- Elucidate the differentiation and definition of Type I and Type II errors in acceptance sampling scenarios.
Verified Answer
SA
Salvador Ayala-MendozaMay 18, 2024
Final Answer :
B
Explanation :
A Type II error occurs when a bad lot is accepted, meaning that the lot does not meet the acceptance criteria but is still considered acceptable. This error is also known as a false negative, as the test failed to identify the problem with the lot.
Learning Objectives
- Elucidate the differentiation and definition of Type I and Type II errors in acceptance sampling scenarios.