Question

Discuss type I and type II errors rel-
ative to the control chart. What prac-
tical implication in terms of process
operation do these two types of
errors have?​

Answer 1

Answer:

Type I errors are also called:

Producer’s risk

False alarm

error

Type II errors are also called:

Consumer’s risk

Misdetection

error

Type I and Type II errors can be defined in terms of hypothesis testing.

A Type I error () is the probability of rejecting a true null hypothesis.

A Type II error () is the probability of failing to reject a false null hypothesis.

Or simply:

A Type I error () is the probability of telling you things are wrong, given that things are correct.

A Type II error () is the probability of telling you things are correct, given that thi

Explanation: