For the Excel file Job Satisfaction, use ANOVA to determine if the mean overall job satisfaction ratings differ by department. Job Satisfaction Scale: 1=Strongly Disagree, 2=Disagree, 3=Neutral, 4=Agree, 5=Strongly Agree 1=Low, 10=High Years of Service I am able to express ideas for improving my job I have good communication with my supervisor My supervisor recognizes a job well done I receive the proper training to do my job My work conditions are good I have the tools and information needed to do my job well I have a good balance between work and my personal life Overall Job satisfaction Department Years Ideas Communication Recognition Training Work Conditions Tools and Information Work/Life Balance Satisfaction Management 1 5 4 4 3 5 3 5 9 Administrative 16 2 3 2 2 4 5 2 3 Production 16 2 3 2 4 4 4 2 5 Production 15 2 3 1 4 4 4 2 4 Quality Control 1 5 5 5 5 5 5 5 10 Maintenance 17 5 4 3 5 5 5 3 8 Maintenance 15 5 5 5 5 5 5 5 9 Production 13 3 3 3 4 4 4 3 8 Quality Control 11 3 4 4 4 5 5 2 7 Production 3 5 5 5 5 5 5 5 10 Production 6 2 2 1 3 3 4 2 4 Production 1 5 4 4 3 4 5 5 9 Production 3 3 4 3 4 5 5 4 7 Production 2 4 4 4 4 5 5 5 8 Production 3 3 4 3 3 2 4 4 6 Shipping / Receiving 21 3 2 2 3 2 4 3 5 Production 2 4 3 4 3 3 4 4 6 Production 2 4 5 4 4 4 4 4 8 Production 15 5 4 3 4 3 5 3 7 Management 3 3 4 3 3 4 5 5 8 Production 5 4 5 3 2 3 5 4 7 Shipping / Receiving 8 3 2 2 2 2 4 2 4 Management 3 2 2 2 2 3 5 3 3 Administrative 2 4 4 3 4 4 5 3 9 Production 8 5 5 3 5 3 5 3 8 Shipping / Receiving 32 2 3 2 4 2 5 3 5 Production 17 4 3 4 3 3 5 2 6 Shipping / Receiving 2 5 5 5 5 5 5 5 10 Production 15 5 3 4 5 5 5 5 9 Production 5 2 4 2 2 2 5 3 3 Administrative 14 4 3 2 2 5 5 5 6 Shipping / Receiving 18 4 4 4 5 5 5 5 8

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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For the Excel file Job Satisfaction, use ANOVA to determine if the mean overall job satisfaction ratings differ by department.

Job Satisfaction

		Scale: 1=Strongly Disagree, 2=Disagree, 3=Neutral, 4=Agree, 5=Strongly Agree	1=Low, 10=High

	Years of Service	I am able to express ideas for improving my job	I have good communication with my supervisor	My supervisor recognizes a job well done	I receive the proper training to do my job	My work conditions are good	I have the tools and information needed to do my job well	I have a good balance between work and my personal life	Overall Job satisfaction

Department	Years	Ideas	Communication	Recognition	Training	Work Conditions	Tools and Information	Work/Life Balance	Satisfaction
Management	1	5	4	4	3	5	3	5	9
Administrative	16	2	3	2	2	4	5	2	3
Production	16	2	3	2	4	4	4	2	5
Production	15	2	3	1	4	4	4	2	4
Quality Control	1	5	5	5	5	5	5	5	10
Maintenance	17	5	4	3	5	5	5	3	8
Maintenance	15	5	5	5	5	5	5	5	9
Production	13	3	3	3	4	4	4	3	8
Quality Control	11	3	4	4	4	5	5	2	7
Production	3	5	5	5	5	5	5	5	10
Production	6	2	2	1	3	3	4	2	4
Production	1	5	4	4	3	4	5	5	9
Production	3	3	4	3	4	5	5	4	7
Production	2	4	4	4	4	5	5	5	8
Production	3	3	4	3	3	2	4	4	6
Shipping / Receiving	21	3	2	2	3	2	4	3	5
Production	2	4	3	4	3	3	4	4	6
Production	2	4	5	4	4	4	4	4	8
Production	15	5	4	3	4	3	5	3	7
Management	3	3	4	3	3	4	5	5	8
Production	5	4	5	3	2	3	5	4	7
Shipping / Receiving	8	3	2	2	2	2	4	2	4
Management	3	2	2	2	2	3	5	3	3
Administrative	2	4	4	3	4	4	5	3	9
Production	8	5	5	3	5	3	5	3	8
Shipping / Receiving	32	2	3	2	4	2	5	3	5
Production	17	4	3	4	3	3	5	2	6
Shipping / Receiving	2	5	5	5	5	5	5	5	10
Production	15	5	3	4	5	5	5	5	9
Production	5	2	4	2	2	2	5	3	3
Administrative	14	4	3	2	2	5	5	5	6
Shipping / Receiving	18	4	4	4	5	5	5	5	8

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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