Statistics-DUE ON LAST DAY OF CLASS COPY/PAST THIS UNDER WEEK #4 ASSIGNMENT

DUE ON LAST DAY OF CLASS
COPY/PAST THIS UNDER WEEK #4 ASSIGNMENT AND THEN
SUBMIT TO THE WEEK 4 DROPBOX

Extra Credit
Worth Up to 12 Points
Note: There
are three overall questions with sub-questions, and each overall question is
worth up to4 points.
Overview
Given the
current economy, where employees are asked to do more with less, job stress is
at an all time high. An organization
wished to determine what factors in the work environment were causing the most job
stress.
A six-item
survey was administered to sample 202 employees. The survey was measured on the following
scale:

Scale

Code

Strongly Agree

5

Agree

4

Neutral

3

Dis- Agree

2

Strongly Disagree

1

The higher the
number, the more favorable.
Below is each
question. Employees rated each one using
the scale above.

Q1.

I
have the resources I need (e.g., tools, equipment, supplies, personnel) to do
my job effectively. (RESOURCES)

Q2.

Policies
and programs help me balance my work and personal commitments. (WORKLIFE)

Q3.

I
am satisfied with my involvement in decisions that affect me. (INVOLVEMENT)

Q4.

I
have the opportunities to learn and grow in my job. (LEARN)

Q5.

I
am satisfied with my total compensation (pay, benefits). (REWARDS)

Q6.

The
amount of stress I experience on the job is reasonable. (STRESS)

1. Below is
computer output from SPSS, the package used in the text. The table below has descriptive statistics
for each variable measured the 5-point scale, with 5 being “Strongly Agree” and
1 being “Strongly Disagree” (Favorable =
“SA or A”
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1a. Which
variable is has the most favorable rating? (1 pt)
b. Which
variable has the most variation in the response? (1 pt)
c.
Below is a frequency distribution of the stress
variable.
STRESS

Frequency

Percent

Cumulative Percent

Valid

1.00

37

18.3

18.3

2.00

20

9.9

28.2

3.00

45

22.3

50.5

4.00

45

22.3

72.8

5.00

55

27.2

100.0

Total

202

100.0

What percentage of respondents “Strongly Agree/Agree”
with their stress level being reasonable?
(One number) (1 pt)
What percentage of respondents “Strongly Disagree/ Disagree”
with their stress level being reasonable?
(One number) (1 pt)

2. In
addition to the survey items, respondents were asked to report their age as
follows:

My generation is (AGE)

Generation Y (Born
1981-2000)

1

Generation X (Born
1965-1980)

2

Baby Boomers
(1946-1964)

3

Veterans (Born
1922-1945)

4

Below is output
from an ANOVA to test if there are differences in stress levels between age
groups.
What was is the
null hypothesis?
What is the
alternative hypothesis?

Below
are summary statistics for

STRESS
Lower BoundUpper BoundLower BoundUpper Bound
Lower BoundUpper Bound

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

1.00

83

4.1325

1.39486

.15311

3.8280

4.4371

1.00

11.00

2.00

45

3.0444

1.39733

.20830

2.6246

3.4642

1.00

5.00

3.00

37

2.4595

2.06283

.33913

1.7717

3.1472

1.00

11.00

4.00

37

3.1351

1.00449

.16514

2.8002

3.4701

1.00

5.00

Total

202

3.4010

1.60924

.11323

3.1777

3.6243

1.00

11.00

Which group has
the lowest stress level? (1 pt)
Which group has
the highest stress level? (1 pt)
Which group has the
most variation in stress level? (1 pt)

Below is the
ANOVA output.
ANOVA

STRESS

Sum of Squares

df

Mean Square

F

Sig. (P-value)

Between
Groups

91.680

3

30.560

4.339

.041

Within
Groups

322.899

198

1.631

Total

414.579

201

Are the results
significant? Write a 2-3 sentence
summary of your findings. (1 pt)
Multiple Regression – Will Cover in Week #4
3. The
organization that surveyed the employees wanted to know what factors influenced
STRESS so they could take action. To do that a multiple regression analysis was
run that regressed the all the items against the STRESS measure to see which
ones had the most impact on stress.
Below are the findings:
Model
Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.742(a)

.55

.53

1.39776

a Predictors: (Constant), REWARDS, LEARN,
WORKLIFE, RESOURCES, INVOLVEMENT

ANOVA(b)

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

30.233

5

6.047

3.095

.015(a)

Residual

357.533

183

1.954

Total

387.766

188

a Predictors: (Constant), REWARDS, LEARN,
WORKLIFE, RESOURCES, INVOLVEMENT
b Dependent Variable: STRESS

Coefficients(a)

BStd. Error

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

1.992

.560

3.558

.000

RESOURCES

.158

.123

.117

1.287

.200

WORKLIFE

.148

.125

.104

2.131

.039

INVOLVEMENT

.292

.136

.200

2.147

.033

LEARN

.110

.112

.076

.978

.329

REWARDS

.179

.134

.124

1.330

.185

a Dependent Variable: STRESS

What is the
R-square and what does it mean? (1 pt)
Was the overall
multiple regression significant? (1 pt)
Looking at each
regression coefficient, which one(s), if any, are statistically significant? (1 pt)
Summarize the
results in 2-3 sentences. (1 pt)