An airline wants to select a computer software package for thereservation system. Four software packages (1,2,3,4) arecommercially available. The airline will choose the package thatbumps as few passengers, on average, as possible during a month.An experiment is set up in which each package is used to makereservations for 5 randomly selected weeks. A total of 20 weeks wasincluded in the experiment. The number of passengers bumped eachweek is obtained, which gives rise to the following output analysis asin Output 1. Based on Output 1, at a significance level of 1%,Output 1ANOVASource of VariationSSdfMSFp-valueF critBetween Groups212.48.304985 0.001474 3.238867Within Groups136.48.525Total348.8there is insufficient evidence to conclude that the average numbers ofcustomers bumped by the 4 packages are not all the same.there is insufficient evidence to conclude that the average numbers ofcustomers bumped by the 4 packages are all the same.there is sufficient evidence to conclude that the average numbers of customersbumped by the 4 packages are not all the same.there is sufficient evidence to conclude that the average numbers of customersbumped by the 4 packages are all the same.

Answered: An airline wants to select a computer…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A consumer researcher gave consumers a sample shampoo. After using the shampoo, each consumer used an interval-level scale to rate his or her satisfaction with it. Scores could range from 0 to 100, with higher scores indicating greater satisfaction. Consumers didn’t know each other and were randomly assigned to three groups: (1) receive a store brand of shampoo in a bottle clearly labeled as such, (2) receive a premium brand of shampoo in the premium brand’s bottle, or (3) receive a store brand of shampoo in the premium brand’s bottle. Here are the collected data:Store brand, store bottle70656560M = 65 s= 4.08SSbetween = 1400Premium brand, premium bottle85909590M = 90 s=4.08Store brand, premium bottle85809085M = 85 s=4.
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The operations manager of a company that manufactures tires wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. She randomly selects 499 tires and carefully inspects them. Each tire is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the tire produced. The data can be summarized by the accompanying two-way table. Perfect Satisfactory Defective Total Shift 1 106 124 2 232 Shift 2 66 85 3 154 Shift 3 36 74 3 113 Total 208 283 8 499 A) This sample has degree of freedom:��= If shift and quality are independent, thenB) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is�1,1= C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table iscomponent1,1= D) �2 value of this sample is�2= . Round to 2 decimal…
A researcher conducts an experiment to test whether memory changes with age. They recruited 24 participants separated into four age groups. The groups differ according to the age of subjects. In group one, all participants are 30 years old. Group 2, 40 years old. Group 3, 50 years old. And group 4, 60 years old. Assume that the participants are all in good health and that the groups are matched on other important variables such as years of education, IQ, gender, motivation, and so on. Each participant is shown a series of nonsense syllables ( a meaningless combination of three letters such as Daf or FUM ) at a rate of one syllable every four seconds. The series is shown twice, after which participants are asked to write down as many of the syllables as they can remember. Below is number of syllables remembered by each participant. 30 years old 14 13 15 17 12 10 40 years old 12 15 16 11 12 18 50 years old 17 14 14 9 13 15 60 years old 13 10 7 8 6 9 what is the alternative and null…
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The Women’s Institutional Studies group at a Midwestern university wanted to compare the percentages of female faculty members in the various units on campus in Spring 2004. Of particular interest were the percentages of female faculty in the College of Education and in the College of Business . In a sample of 80 College of Education faculties, there were 36 females, and in a sample of 70 College of Business faculties, there were 15 females. Based upon this sample information, which of the following is the 98% confidence interval for the difference in the actual percentages of female faculty between College of Education and College of Business ? a. (0.075, 0.405). b. (0.123, 0.357). c. (-0.012, 0.252). d. (0.058, 0.422). e. (0.101, 0.379).
A manufacturing company that produces laminate for countertops is interested in studying the relationship between the number of hours of training that an employee receives and the number of defects per countertop produced. Ten employees are randomly selected. The number of hours of training each employee has received is recorded and the number of defects on the most recent countertop produced is determined. The results are as follows. Hours of Training Defects per Countertop 1 5 4 1 7 0 3 3 2 5 2 4 5 1 5 2 1 8 6 2 Copy Data The estimated regression line and the standard error are given. Defects per Countertop=6.717822−1.004950(Hours of Training)se=1.229787se=1.229787 Suppose a new employee has had 5 hours of training. What would be the 90% prediction interval for the number of defects per countertop? Round your answer to two decimal places.
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A consumer researcher gave consumers a sample shampoo. After using the shampoo, each consumer used an interval-level scale to rate his or her satisfaction with it. Scores could range from 0 to 100, with higher scores indicating greater satisfaction. Consumers didn’t know each other and were randomly assigned to three groups: (1) receive a store brand of shampoo in a bottle clearly labeled as such, (2) receive a premium brand of shampoo in the premium brand’s bottle, or (3) receive a store brand of shampoo in the premium brand’s bottle. Here are the collected data: Store brand, store bottle Premium brand, premium bottle Store brand, premium bottle 70 85 85 65 90 80 65 95 90 60 90 85 M = 65s = 4.08 M = 90s = 4.08 M = 85s = 4.08 SSbetween = 1400 e. Report results (Table and APA)f. What do these results mean?

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