As an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05. PsychologyChemistryEngineeringFreshmen3, 4, 4, 2, 44, 5, 7, 8, 45, 7, 7, 8, 5Senior4, 5, 5, 3, 58, 5, 6, 7, 79, 9, 8, 7, 9Complete the ANOVA summary table below: SourceSSdfMS (variance)FMAJOR CLASS MAJOR*CLASS ERROR/RESIDUAL Nothing hereTOTAL Nothing hereNothing here What can we conclude? (Remember: make sure you have the same number of conclusion statements as you do hypotheses…) If it’s significant, follow-up your analysis with a posthoc test on Major (using a Bonferroni correction) and comment on any significant differences between the majors. Write these out rather than just copying and pasting the post-hoc table from Jamovi.

The objective is to check whether or not there is a difference between three majors (Psychology,…

Answered: As an admissions counselor, I am…

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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As an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05.

	Psychology	Chemistry	Engineering
Freshmen	3, 4, 4, 2, 4	4, 5, 7, 8, 4	5, 7, 7, 8, 5
Senior	4, 5, 5, 3, 5	8, 5, 6, 7, 7	9, 9, 8, 7, 9

Complete the ANOVA summary table below:

Source	SS	df	MS (variance)	F
MAJOR
CLASS
MAJOR*CLASS
ERROR/RESIDUAL				Nothing here
TOTAL			Nothing here	Nothing here

What can we conclude? (Remember: make sure you have the same number of conclusion statements as you do hypotheses…)

If it’s significant, follow-up your analysis with a posthoc test on Major (using a Bonferroni correction) and comment on any significant differences between the majors. Write these out rather than just copying and pasting the post-hoc table from Jamovi.

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