MindTap Business Statistics, 1 term (6 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran's Essentials of Statistics for Business and Economics, 8th

8th Edition

ISBN: 9781337114288

Author: Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas A.; Camm, Jeffrey D.; Cochran, James J.

Publisher: Cengage Learning

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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Chapter 13.2, Problem 8E

Refer to the NCP data in Table 13.4. Set up the ANOVA table and test for any significant difference in the mean examination score for the three plants. Use a = .05.

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 13.2, Problem 7E

Chapter 13.2, Problem 9E

Chapter 13 Solutions

MindTap Business Statistics, 1 term (6 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran's Essentials of Statistics for Business and Economics, 8th

Ch. 13.2 - The following data are from a completely...Ch. 13.2 - 2. In a completely randomized design, seven...Ch. 13.2 - 3. Refer to exercise 2. what hypotheses are...Ch. 13.2 - 4. In an experiment designed to test the output...Ch. 13.2 - 5. In a completely randomized design, 12...Ch. 13.2 - Develop the analysis of variance computations for...Ch. 13.2 - 7. Three different methods for assembling a...Ch. 13.2 - 8. Refer to the NCP data in Table 13.4. Set up the...Ch. 13.2 - To study the effect of temperature on yield in a...Ch. 13.2 - Prob. 10E

Ch. 13.2 - Prob. 11E Ch. 13.2 - Restaurant Satisfaction. The Consumer Reports...Ch. 13.3 - The following data are from a completely...Ch. 13.3 - The following data are from a completely...Ch. 13.3 - Testing Chemical Processes. To test whether the...Ch. 13.3 - Confidence Intervals for Different Processes....Ch. 13.3 - Prob. 17E Ch. 13.3 - Machine Breakdowns. To test for any significant...Ch. 13.3 - Testing Time to Breakdown Between All Pairs of...Ch. 13.3 - Minor league Baseball Attendance. The...Ch. 13.4 - Consider the experimental results for the...Ch. 13.4 - Prob. 22E Ch. 13.4 - An experiment has been conducted for four...Ch. 13.4 - Auto Tune-Ups. An automobile dealer conducted a...Ch. 13.4 - Prob. 25E Ch. 13.4 - SAT Performance. The Scholastic Aptitude Test...Ch. 13.4 - Prob. 27E Ch. 13.5 - A factorial experiment involving two levels of...Ch. 13.5 - The calculations for a factorial experiment...Ch. 13.5 - Prob. 30E Ch. 13.5 - Amusement Park Queues. An amusement park studied...Ch. 13.5 - Auto Fuel Efficiency. As part of a study designed...Ch. 13.5 - Tax Research. A study reported in The Accounting...Ch. 13 - Paper Towel Absorption. In a completely randomized...Ch. 13 - Job Satisfaction. A study reported in the Journal...Ch. 13 - Prob. 36SE Ch. 13 - College Attendance Rates. The following data show...Ch. 13 - Assembly Methods. Three different assembly methods...Ch. 13 - In a study conducted to investigate browsing...Ch. 13 - Fuel Efficiency of Gasoline Brands. A research...Ch. 13 - Prob. 41SE Ch. 13 - Golf Club Design. A major manufacturer of golf...Ch. 13 - Language Translation. A factorial experiment was...Ch. 13 - Defective Parts. A manufacturing company designed...Ch. 13 - CASE PROBLEM 1: WENTWORTH MEDICAL CENTER As part...Ch. 13 - CASE PROBLEM 2: COMPENSATION FOR SALES...

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Refer to the NCP data in Table 13.4. Set up the ANOVA table and test for any significant difference in the mean examination score for the three plants. Use a = .05.

Solution Summary: The author concludes that the three plants are not equal at 0.05 level of significance.

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Chapter 13 Solutions