Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

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A well-known company predominantly makes flat pack furniture for students. Variability with the automated machinery means the wood components are cut with a standard deviation in length of 0.45 mm. After they are cut the components are measured. If their length is more than 1.2 mm from the required length, the components are rejected. a) Calculate the percentage of components that get rejected. b) In a manufacturing run of 1000 units, how many are expected to be rejected? c) The company wishes to install more accurate equipment in order to reduce the rejection rate by one-half, using the same ±1.2mm rejection criterion. Calculate the maximum acceptable standard deviation of the new process.

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Answer 2

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

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Answer 3

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

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Answer 4

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

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Answer 5

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

Answer 6

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

Answer 7

Chapter 11.2, Problem 67E

To determine

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

Answer 8

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Answer 9

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Answer 10

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Answer 11

Ch. 11.1 - What is meant by saying that a variable has a...Ch. 11.1 - How are different chi-square distributions...Ch. 11.1 - Two 2-curves have degrees of freedom 12 and 20,...Ch. 11.1 - The t-table has entries for areas of 0.10, 0.05,...Ch. 11.1 - Prob. 5E Ch. 11.1 - Prob. 6E Ch. 11.1 - In Exercises 11.511.2, use Table VII to find the...Ch. 11.1 - Prob. 8E Ch. 11.1 - Prob. 9E Ch. 11.1 - Prob. 10E

Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

Solution Summary: The author states the null hypothesis and the alternative hypothesis.

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Conduct the required hypothesis test by using either the critical-value approach or the P-value approach by assuming that the variable under consideration is normally distributed on both populations.

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