A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha)of concluding this process is out of control when it is actually in control (Type I error)?
A)0.0026
B)0.0456
C)0.3174
D)0.6826
E)0.9544

Question

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error) ?

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha)of concluding this process is out of control when it is actually in control (Type I error)?
A)0.0026 
B)0.0456 
C)0.3174 
D)0.6826 
E)0.9544

Quizplus · Accepted Answer

The Answer of A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha)of concluding this process is out of control when it is actually in control (Type I error)?
A)0.0026 
B)0.0456 
C)0.3174 
D)0.6826 
E)0.9544

A Quality Analyst Wants to Construct a Sample Mean Chart