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Referring to Table 1, at a significance level of 1%, 1) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same. 2) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 3) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 4) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same.

Referring to Table 1, at a significance level of 1%, 1) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same. 2) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 3) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 4) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same.

MATLAB: An Introduction with Applications
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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TABLE 1 An airline wants to select a computer software package for its reservation system. Four software packages (1, 2, 3, and 4) are commercially available. The airline will choose the package that bumps as few passengers as possible during a month. An experiment is set up in which each package is used to make reservations for 5 randomly selected weeks. (A total of 20 weeks was included the experiment.) The number of passengers bumped each week is obtained, which gives rise to the following Excel output: ANOVA F P-value F crit Source of Variation SS df MS Between Groups 212.4 3 8.3049850.0014743.238867 Within Groups 136.4 8.525 Total 348.8
Transcribed Image Text:TABLE 1 An airline wants to select a computer software package for its reservation system. Four software packages (1, 2, 3, and 4) are commercially available. The airline will choose the package that bumps as few passengers as possible during a month. An experiment is set up in which each package is used to make reservations for 5 randomly selected weeks. (A total of 20 weeks was included the experiment.) The number of passengers bumped each week is obtained, which gives rise to the following Excel output: ANOVA F P-value F crit Source of Variation SS df MS Between Groups 212.4 3 8.3049850.0014743.238867 Within Groups 136.4 8.525 Total 348.8
Referring to Table 1, at a significance level of 1%, 1) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same. 2) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 3) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 4) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same.
Transcribed Image Text:Referring to Table 1, at a significance level of 1%, 1) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same. 2) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 3) there is sufficient evidence to conclude that the mean number of customers bumped by the 4 packages are not all the same. 4) there is insufficient evidence to conclude that the mean number of customers bumped by the 4 packages are all the same.
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