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36 trainees in a technical program were selected according to level of study (I,II,III,IV) and each of the 9 trainees per level randomly assigned to three different types of instructional approaches, all of which are concerned with developing a specified level of skill in computer-assisted design. The trainees were then given a test to assess if the level of study and method of instruction had any impact on their performance. A two-way ANOVA model was used to carry out the assessment and part of the results obtained were as follows: Source of variation level of study method of instruction interaction term error Sum of squares 330.9 750.0 83.9 435.3 Mean Sum of squares A B с D

36 trainees in a technical program were selected according to level of study (I,II,III,IV) and each of the 9 trainees per level randomly assigned to three different types of instructional approaches, all of which are concerned with developing a specified level of skill in computer-assisted design. The trainees were then given a test to assess if the level of study and method of instruction had any impact on their performance. A two-way ANOVA model was used to carry out the assessment and part of the results obtained were as follows: Source of variation level of study method of instruction interaction term error Sum of squares 330.9 750.0 83.9 435.3 Mean Sum of squares A B с D

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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Complete the anova table then, answer question b.

36 trainees in a technical program were selected according to level of study (I,II,III,IV) and each of the 9 trainees per level randomly assigned to three different types of instructional approaches, all of which are concerned with developing a specified level of skill in computer-assisted design. The trainees were then given a test to assess if the level of study and method of instruction had any impact on their performance. A two-way ANOVA model was used to carry out the assessment and part of the results obtained were as follows: Sum of squares 330.9 750.0 83.9 435.3 Source of variation level of study method of instruction interaction term error Mean Sum of squares A B с D
Transcribed Image Text:36 trainees in a technical program were selected according to level of study (I,II,III,IV) and each of the 9 trainees per level randomly assigned to three different types of instructional approaches, all of which are concerned with developing a specified level of skill in computer-assisted design. The trainees were then given a test to assess if the level of study and method of instruction had any impact on their performance. A two-way ANOVA model was used to carry out the assessment and part of the results obtained were as follows: Sum of squares 330.9 750.0 83.9 435.3 Source of variation level of study method of instruction interaction term error Mean Sum of squares A B с D
(b) What conclusion can be drawn about the interaction effect? (use critical value= 2.508) The interaction effect is not significant, hence the effect of the effect of one factor on the mean response is independent of the the other factor. The interaction effect is not significant, hence the effect of the effect of one factor on the mean response is dependent of the the other factor. The interaction effect is significant, hence the effect of the effect of one factor on the mean response is independent of the the other factor. The interaction effect is significant, hence the effect of the effect of one factor on the mean response is dependent of the the other factor.
Transcribed Image Text:(b) What conclusion can be drawn about the interaction effect? (use critical value= 2.508) The interaction effect is not significant, hence the effect of the effect of one factor on the mean response is independent of the the other factor. The interaction effect is not significant, hence the effect of the effect of one factor on the mean response is dependent of the the other factor. The interaction effect is significant, hence the effect of the effect of one factor on the mean response is independent of the the other factor. The interaction effect is significant, hence the effect of the effect of one factor on the mean response is dependent of the the other factor.
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