Use SPSS for this Application Exercise: Ahuman r-urce HR) mar ager warts to see

Question

Use SPSS for this Application Exercise: Ahuman r-urce HR) mar ager warts to see i en rees of the cor pry are experiencing burrout. The HR manager brows that burnt in the general peoultosdeedtend a ten . random wmple of employees from the company ??fill out a burnout questionnaire. what the HR manager conclude wth anar of The data are belon. id burnout 2 71 6 89 163 3 90 485 5 72 7 87 11 87 19 81 1586 4596 33 95 2496 46 96 4790 2284 a) What is the appropriate test statistic? Population c) Compute the appropriate test statistic(s) to make a decision about H (H?C Make sure to verite down the null and alternative hypotheses to h"p solve tho problem.) d) Using the SPss results, compute the corresponding effect size(s) and indicate magnitude(s). If not input and/or select "na" below

Explanation / Answer

Here we have to test the hypothesis that,

H0 : mu = 87 Vs H1 : mu not= 87

where mu is population mean burnout.

Assume alpha = level of significance = 0.05

Sample data is given and population standard deviation is unknown so we use one sample t-test.

We can do one sample t-test in MINITAB.

steps :

ENTER data into MINITAB sheet --> Stat --> Basic statistics --> One sample t for the mean --> one or more samples each in a column --> select data column --> Perform hypothesis test --> Hypothesized mean : 87 --> Options --> COnfidence level : 95.0 --> Alternative hypothesis : not= --> ok --> ok

One-Sample T: burnout

Test of ? = 87 vs ? 87

Variable N Mean StDev SE Mean 95% CI T P
burnout 19 84.95 9.22 2.11 (80.51, 89.39) -0.97 0.345

Test statistic = -0.97

P-value = 0.345

P-value > alpha

Accept H0 at 5% level of significance.

COnclusion : There is not sufficient evidence to say that the population mean burnout is differ than 87.

Now we have to find Cohen's d.

d = (Xbar - mu) / s

= (84.95-87) / 9.22 = -0.22

Distance is always positive so we have to take absolute value of d.

d = | -0.22 | = 0.22

Effect size is medium.

r2 = NA

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