11.15 We want to compare four electronic calculator models in terms of their efficiency to perform an analysis of variance. For this purpose, 3 students are randomly chosen from the statistical methods course, and each one is instructed on the optimal way to use each model for the proposed purpose. Subsequently, each of the 3 is asked to construct the Analysis of Variance table of the data from exercise 11.13, with each of the four models, randomizing the order in which each model is used. Below are the times (in minutes) for each attempt. Block Treatments (students) M1 M2 M3 M4 1. 13.8 12.6 14.7 15.3 18.6 16.4 20.3 19.9 3 19.2 15.8 20.6 21.4 Present the Analysis of Variance table and test the hypothesis that all four models are the same in terms of their use to construct the Analysis of Variance table. (a = 0.01).
11.15 We want to compare four electronic calculator models in terms of their efficiency to perform an analysis of variance. For this purpose, 3 students are randomly chosen from the statistical methods course, and each one is instructed on the optimal way to use each model for the proposed purpose. Subsequently, each of the 3 is asked to construct the Analysis of Variance table of the data from exercise 11.13, with each of the four models, randomizing the order in which each model is used. Below are the times (in minutes) for each attempt. Block Treatments (students) M1 M2 M3 M4 1. 13.8 12.6 14.7 15.3 18.6 16.4 20.3 19.9 3 19.2 15.8 20.6 21.4 Present the Analysis of Variance table and test the hypothesis that all four models are the same in terms of their use to construct the Analysis of Variance table. (a = 0.01).
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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11.15
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introduction -
Analysis of variance (ANOVA)
Analysis of variance is an analysis tool used in statistics that splits an observed aggregate variability found inside a data set into two parts : systematics factors and random factors . The systematic factors have a statistical influence on the given data set , while the random factors do not . Analysts use the ANOVA test to determine the influence that independent variables have no the dependent variable in regression study .
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