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Many manufacturing companies use statistical techniques to ensure that the products they make meet standards. One common way to do this is to take a random sample of products at regular intervals throughout the production shift. Assuming that the process is working properly, the mean measurement x-from a random sample varies according to a Normal distribution with mean xand standard deviation x. For each question that follows, assume that the process is working properly.

a. What鈥檚 the probability that at least one of the next two sample means will fall more than 2xfrom the target mean x?

b. What鈥檚 the probability that the first sample mean that is greater than x+2xis the one from the fourth sample taken? Plant managers are trying to develop a criterion for determining when the process is not working properly. One idea they have is to look at the 5most recent sample means. If at least 4of the 5fall outside the interval (x-x,x+x), they will conclude that the process isn鈥檛 working.

c. Find the probability that at least 4 of the 5 most recent sample means fall outside the interval, assuming the process is working properly. Is this a reasonable criterion? Explain your reasoning.

Short Answer

Expert verified

Part a. P(X1)=0.0975

Part b. P(Firstgreaterthan2+onfourthsample)=0.0232

Part c. It is a reasonable criteria.

P(X1)=0.039007

Step by step solution

01

Part a. Step 1. Given information

It is given that random samples vary normally around the target mean with a standard deviation.

02

Part a. Step 2. Explanation

The68-95-99.7tells us that95%of the sample is within2standard deviation of the mean and thus5%of the samples mean is more than2standard deviation of the mean.

By multiplication rule we know that,

P(AandB)=P(A)P(B)

Let X be the number of sample means that are more than2standard deviation of the mean.

Thus,

P(X=0)=P(within2standarddeviationfromthemean)2 =0.952 =0.9025

Now, by the complement rule we have,

P(notA)=1-P(A)

We can then determine the probability of having at least one of the two sample means more than standard deviation of the mean. This is,

P(X1)=1-P(X=0)=1-0.9025=0.0925

03

Part b. Step 1. Explanation

Since the normal distribution is symmetric about its mean, 2.5%of the sample mean is greater than 2+

By multiplication rule we know that,

P(AandB)=P(A)P(B)

If the fourth sample is the first sample with a mean greater than 2+, then the three previous sample had a mean less than 2+

P(firstgreaterthan2+onfourthsample)=P(lessthan2+)3P(greaterthan2+)=0.97530.025=0.0232

04

Part c. Step 1. Explanation

By multiplication rule we know that,

P(AandB)=P(A)P(B)

Let X be the number of sample means in (+,-)out of the five sample means.

P(X=0)=P(Samplemeannotin(+,-))5 =0.325 =0.003355P(X=1)=5P(Samplemeannotin(+,-))4P(Samplemeanin(+,-))=50.3240.68=0.035652

Thus, we have,

P(X1)=0.003355+0.035652=0.039007=3.9007%

Since the probability is less than5% this event is unlikely to happen by chance and thus is a reasonable criteria.

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