3. A psychology professor wants to know if stress in his statistics class is in anyway affected by a student'smajor and gender. Test to see if a students and major affects their stress level in the statistics course.PsychologyNursingOther121621161471718Male1215228152391718EX? = 1127516202310172872128Female1316272212381729Critical Value=F(A) 3.32, F(B)4.17, F(AB) 3.32Solve for the appropriate test statistic(s). Fill out a completed ANOVA Table on the answer sheet

The obtained two-way ANOVA table is as follows, Source of Variation Sums of SquaresSS Degrees of…

3. A psychology professor wants to know if stress in his statistics class is in anyway affected by a student's major and gender. Test to see if a students and major affects their stress level in the statistics course. Psychology Nursing Other 12 16 21 1 16 14 7 17 18 Male 12 15 22 8. 15 23 EX = 11275 9 17 18 16 20 23 10 17 28 7 21 28 Female 13 16 27 2 21 23 8 17 29 Critical Value=F(A) 3.32, F(B)4.17, F(AB) 3.32 Solve for the appropriate test statistic(s). Fill out a completed ANOVA Table on the answer sheet

3. A psychology professor wants to know if stress in his statistics class is in anyway affected by a student's major and gender. Test to see if a students and major affects their stress level in the statistics course. Psychology Nursing Other 12 16 21 1 16 14 7 17 18 Male 12 15 22 8. 15 23 EX = 11275 9 17 18 16 20 23 10 17 28 7 21 28 Female 13 16 27 2 21 23 8 17 29 Critical Value=F(A) 3.32, F(B)4.17, F(AB) 3.32 Solve for the appropriate test statistic(s). Fill out a completed ANOVA Table on the answer sheet

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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Beachcomer Ltd is a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model. SALES = a+BAGE + yMIL + SENG Where SALES = amount that a vehicle is sold for (000's), AGE = age of vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predictor Constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 0.6196 7.7664 0.0000…
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Beachcomer Ltd is a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model. SALES = a+BAGE + yMIL + SENG Where SALES = amount that a vehicle is sold for (000's), AGE = age of vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predictor Constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 0.6196 7.7664 0.0000…
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Beachcomer Ltd is a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model. SALES = a+BAGE + yMIL + SENG Where SALES = amount that a vehicle is sold for (000's), AGE = age of vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predictor Constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 0.6196 7.7664 0.0000…