6th Edition

ISBN: 9781259957598

Author: DOANE

Publisher: RENT MCG

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Textbook Question

Chapter 11, Problem 34CE

Instructions: You may use Excel, MegaStat, Minitab, JMP, or another computer package of your choice. Attach appropriate copies of the output or capture the screens, tables, and relevant graphs and include them in a written report. Try to state your conclusions succinctly in language that would be clear to a decision maker who is a nonstatistician. Exercises marked * are based on optional material. Answer the following questions, or those your instructor assigns.

a. Choose an appropriate ANOVA model. State the hypotheses to be tested.
b. Display the data visually (e.g., dot plots or line plots by factor). What do the displays show?
c. Do the ANOVA calculations using the computer.
d. State the decision rule for α = .05 and make the decision. Interpret the p-value.
e. In your judgment, are the observed differences in treatment means (if any) large enough to be of practical importance?
f. Given the nature of the data, would more data collection be practical?
g. Perform Tukey multiple comparison tests and discuss the results.
h. Perform a test for homogeneity of variances. Explain fully.

The results shown below are mean productivity measurements (average number of assemblies completed per hour) for a random sample of workers at each of three plants. Research question: Are the mean hourly productivity levels the same for workers in these three plants?

Chapter 11, Problem 34CE, Instructions: You may use Excel, MegaStat, Minitab, JMP, or another computer package of your choice.

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 + ...

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Chapter 11, Problem 33CE

Chapter 11, Problem 35CE

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Chapter 11 Solutions

APPLIED STAT.IN BUS.+ECONOMICS

Ch. 11.2 - Using the following Excel results: (a) What was...Ch. 11.2 - Using the following Excel results: (a) What was...Ch. 11.2 - In a one-factor ANOVA with sample sizes n1 = 5, n2...Ch. 11.2 - In a one-factor ANOVA with sample sizes n1 = 8, n2...Ch. 11.2 - Prob. 5SE Ch. 11.2 - Prob. 6SE Ch. 11.2 - Instructions for Exercises 11.5 through 11.8: Use...Ch. 11.2 - Prob. 8SE Ch. 11.3 - Consider a one-factor ANOVA with n1 = 9, n2 = 10,...Ch. 11.3 - Consider a one-factor ANOVA with n1 = 6, n2 = 5,...

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