Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance. Explain how does the decision is compared to that in Exercise 12.10(a).

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Answer 1

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Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

c.

To determine

Compute the p-value for the test using the applet.

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

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3. Explain why the following statements are not correct. a. "With my methodological approach, I can reduce the Type I error with the given sample information without changing the Type II error." b. "I have already decided how much of the Type I error I am going to allow. A bigger sample will not change either the Type I or Type II error." C. "I can reduce the Type II error by making it difficult to reject the null hypothesis." d. "By making it easy to reject the null hypothesis, I am reducing the Type I error."

Given the following sample data values: 7, 12, 15, 9, 15, 13, 12, 10, 18,12 Find the following: a) Σ x= b) x² = c) x = n d) Median = e) Midrange x = (Enter a whole number) (Enter a whole number) (use one decimal place accuracy) (use one decimal place accuracy) (use one decimal place accuracy) f) the range= g) the variance, s² (Enter a whole number) f) Standard Deviation, s = (use one decimal place accuracy) Use the formula s² ·Σx² -(x)² n(n-1) nΣ x²-(x)² 2 Use the formula s = n(n-1) (use one decimal place accuracy)

Table of hours of television watched per week: 11 15 24 34 36 22 20 30 12 32 24 36 42 36 42 26 37 39 48 35 26 29 27 81276 40 54 47 KARKE 31 35 42 75 35 46 36 42 65 28 54 65 28 23 28 23669 34 43 35 36 16 19 19 28212 Using the data above, construct a frequency table according the following classes: Number of Hours Frequency Relative Frequency 10-19 20-29 |30-39 40-49 50-59 60-69 70-79 80-89 From the frequency table above, find a) the lower class limits b) the upper class limits c) the class width d) the class boundaries Statistics 300 Frequency Tables and Pictures of Data, page 2 Using your frequency table, construct a frequency and a relative frequency histogram labeling both axes.

Answer 2

Question

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

c.

To determine

Compute the p-value for the test using the applet.

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Expert Solution & Answer

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Check out a sample textbook solution

See solution

Answer 3

Question

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

c.

To determine

Compute the p-value for the test using the applet.

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Expert Solution & Answer

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Check out a sample textbook solution

See solution

Answer 4

Question

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

c.

To determine

Compute the p-value for the test using the applet.

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Expert Solution & Answer

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See solution

Answer 5

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

c.

To determine

Compute the p-value for the test using the applet.

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Answer 6

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

Answer 7

Chapter 13.9, Problem 41E

a.

To determine

Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

Answer 8

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

Answer 9

b.

To determine

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

Answer 10

c.

To determine

Compute the p-value for the test using the applet.

Answer 11

c.

To determine

Compute the p-value for the test using the applet.

Answer 12

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Answer 13

d.

To determine

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Answer 14

Expert Solution & Answer

Answer 15

Expert Solution & Answer

Answer 16

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Answer 17

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Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance. Explain how does the decision is compared to that in Exercise 12.10(a).

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Check whether there is sufficient evidence to indicate a difference in the mean CPU times for the two computers using randomized block analysis using 5% level of significance.

Explain how does the decision is compared to that in Exercise 12.10(a).

Obtain bounds for the p-value. Explain how it is compared with the answer in Exercise 12.10(b).

Compute the p-value for the test using the applet.

Explain how does the computed value of MSE is compared to the value of sD2 used in Exercise 12.10.

Want to see the full answer?

Chapter 13 Solutions