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July 29, 2016
Posted by **brandy** on Saturday, May 9, 2009 at 5:15pm.

Variables in the ZYX Case Study

Variable Typical Value Level of Measurement (Attribute/Numeric)

Position Title Ordinal

Income < $25k Ratio

Education Bachelors Ordinal

Commute < 30 min Ratio

Gender Male, Female Nominal

Job Sat. 56 Ratio

Stress 10 Interval

Interest 2 (coded) Ratio

Table 2

Research Question Independent Variable Dependent Variable

Rate your satisfaction level (1 to 5) of the ZYX Company since the move. 1= very satisfied, 2= satisfied, 3= just okay 4= unsatisfied, 5= terribly unsatisfied Rate your satisfaction level (1 to 5) of the ZYX Company since the move. 1= very satisfied, 2= satisfied, 3= just okay 4= unsatisfied, 5= terribly unsatisfied

What has been the greatest challenge for you as an employee since the move from Thousand Oaks to Irvine? What has been the greatest challenge for you as an employee since the move from Thousand Oaks to Irvine?

Knowing that the ZYX Company will not relocate back to Thousand Oaks, what would help you acclimate to the new environment? Knowing that the ZYX Company will not relocate back to Thousand Oaks What would help you acclimate to the new environment.

Phase II: Descriptive Analysis

Table 3

Summary Measure of Position

Position Frequency, f Cumulative Frequency, Cf Relative Frequency, Rf Cumulative Rf

Administrative 36 36 36/255

0.141 0.141

Blue Collar 13 36+13=49 13/255

0.051 0.141+0.051=

0.192

Managerial 52 49+52=101 52/255

0.204 0.192+0.204=

0.396

Professional 128 101+128=229 128/255

0.502 0.396+0.502=

0.898

Other 26 229+26=255 26/255

0.102 0.898+0.102

Total 255 1

Table 4

Summary Measure of Income

Income Frequency, f Cumulative Frequency, Cf Relative Frequency, Rf Cumulative Rf

<$25k 40 40 40/255

0.157 0.157

$25k - $35k 72 40+72=112 72/255

0.282 0.157+0.282=

0.439

$36k - $45k 71 112+71+183 71/255

0.278 0.439+0.278=

0.717

$46k - $55k 36 183+36=219 36/255

0.141 0.717+0.141=

0.858

$56k - $65k 16 219+16=235 16/255

0.063 0.858+0.063=

0.921

>$65k 20 235+20=255 20/255

0.078 =0.999

Total 255

Table 5

Summary Measure of Education

Education Frequency, f Cumulative Frequency, Cf Relative Frequency, Rf Cumulative Rf

High School 23 23 .0901 .0901

AA 85 108 .3333 .4234

Bachelors 114 222 .4470 .8704

Masters 28 250 .1098 .9802

Doctorate 5 255 .0196 1.001

Total 255 858 .9998 3.365

Table 6

Summary Measure of Commute Time

Commute Time Frequency, f Cumulative Frequency, Cf Relative Frequency, Rf Cumulative Rf

<30 min 133 133 .5215 .5215

30 min – 1 Hr 80 213 .3137 .8352

1.1 – 2 Hrs 25 238 .0980 .9332

2.1 – 3 Hrs 17 255 .0666 .9998

Total 255 839 .9998 3.289

Table 7

Summary Measure of Gender

Gender Frequency, f Cumulative Frequency, Cf Relative Frequency, Rf Cumulative Rf

Female 116 116 .4549 .4549

Male 139 255 1 1.4549

Total 255 371 1.4549 1.9098

Table 8

Summary Measure of Interest

Interest Frequency, f Cumulative Frequency, Cf Relative Frequency, Rf Cumulative Rf

1 Strongly Agree 78 78 .3058 .3058

2 Agree 78 156 .6117 .9175

3 No Opinion 31 187 .7333 1.6508

4 Disagree 35 222 .8705 2.5213

5 Str. Disagree 33 255 1 3.5213

Total 255 898 3.521 8.9167

Summary Measure of Numeric Variables

Table 9

Summary Measure of Job Satisfaction

Central Tendency

n Mean Median Mode

255 62.2 63 61

Dispersion

Std Dev Variance Range Min/Max

11.96 143.00 70 19/89

Table 10

Summary Measure of Stress

Central Tendency

n Mean Median Mode

255 25.67 20 10

Dispersion

Std Dev Variance Range Min/Max

22.74 517.27 120 0/120

i need help with the chi square

Chi-Square Calculations

Chi-Square Position Income Education Commute Gender

Collapse dataa? 0.263 0.317 0.324 0.235 0.187

Hypothesis Ho:

H1:

Significance Level 0.05 0.05 0.05 0.05 0.05

Test statistic ×2

p-Value

Decision

Analysis

- statistics -
**Damon**, Saturday, May 9, 2009 at 6:43pmcopy and paste does not work here.