Refer to Exercise 7.9. Assume now that the amount of fill

Chapter 7, Problem 10E

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QUESTION:

Refer to Exercise 7.9. Assume now that the amount of fill dispensed by the bottling machine is normally distributed with \(\sigma=2\) ounces.

If \(\mathrm{n}=9\) bottles are randomly selected from the output of the machine, what is

\(\mathrm{P}(|\bar{Y}-\mu| \leq .3)\)? Compare this with the answer obtained in Example 7.2.

Find \(\mathrm{P}(|\bar{Y}-\mu| \leq .3)\) when \(\bar{Y}\) is to be computed using samples of sizes

\(n=25, n=36, n=49, \text { and } n=64\)

What pattern do you observe among the values for \(\mathrm{P}(|\bar{Y}-\mu| \leq .3)\) that you observed for the various values of n?How do the respective probabilities obtained in this problem (where \(\sigma=2\)) compare to those obtained in Exercise 7.9 (where \(\sigma=1\))?

Equation Transcription:

Text Transcription:

\sigma=2

n=9

P (|\bar Y-\mu| \leq .3)

P (|\bar Y-\mu| \leq .3)

\bar Y

n=25, n=36, n=49, and n=64

P (|\bar Y-\mu| \leq .3)

\sigma=2

\sigma=1

Questions & Answers

QUESTION:

Refer to Exercise 7.9. Assume now that the amount of fill dispensed by the bottling machine is normally distributed with \(\sigma=2\) ounces.

If \(\mathrm{n}=9\) bottles are randomly selected from the output of the machine, what is

\(\mathrm{P}(|\bar{Y}-\mu| \leq .3)\)? Compare this with the answer obtained in Example 7.2.

Find \(\mathrm{P}(|\bar{Y}-\mu| \leq .3)\) when \(\bar{Y}\) is to be computed using samples of sizes

\(n=25, n=36, n=49, \text { and } n=64\)

What pattern do you observe among the values for \(\mathrm{P}(|\bar{Y}-\mu| \leq .3)\) that you observed for the various values of n?How do the respective probabilities obtained in this problem (where \(\sigma=2\)) compare to those obtained in Exercise 7.9 (where \(\sigma=1\))?

Equation Transcription:

Text Transcription:

\sigma=2

n=9

P (|\bar Y-\mu| \leq .3)

P (|\bar Y-\mu| \leq .3)

\bar Y

n=25, n=36, n=49, and n=64

P (|\bar Y-\mu| \leq .3)

\sigma=2

\sigma=1

ANSWER:

Step 1 of 5

Given:

The amount of the fill dispensed by the bottling machine is normally distributed.

The population standard deviation is  ounces.

 

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