Question

A human resource (HR) manager wants to see if employees of the company are experiencing burnout....

A human resource (HR) manager wants to see if employees of the company are experiencing burnout. The HR manager knows that burnout in the general population is defined at 89, and obtains a random sample of employees from the company who fill out a burnout questionnaire. What can the HR manager conclude with α = 0.05? The data are below.

id burnout
2
6
8
1
3
4
5
7
11
21
19
15
45
33
24
46
30
47
22
71
89
82
97
90
85
72
87
87
89
81
86
64
95
96
96
75
90
84


a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test

b)
Population:
---Select--- questionnaire company employees company employees HR manager general population
Sample:
---Select--- questionnaire company employees company employees HR manager general population

c) Compute the appropriate test statistic(s) to make a decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
p-value =  ; Decision:  ---Select--- Reject H0 Fail to reject H0

d) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d =  ;   ---Select--- na trivial effect small effect medium effect large effect
r2 =  ;   ---Select--- na trivial effect small effect medium effect large effect

e) Make an interpretation based on the results.

Employees of the company have significantly more burnout than what is defined for the population.Employees of the company have significantly lower burnout than what is defined for the population.    Employees of the company do not have significantly different burnout than what is defined for the population.

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Answer #1
id burnout
2 71
6 89
8 82
1 97
3 90
4 85
5 72
7 87
11 87
21 89
19 81
15 86
45 64
33 95
24 96
46 96
30 75
47 90
22 84
mean 85.05263
sd 9.155895
a) t-test
b)
population general population
sample company employees
c)
TS 1.8792
p-value 0.0765
Decision fail to reject
d)
d 0.4311 magnitude small
r^2 na magnitude na
e) option C)
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