Running head: Control Measures for Call Center Employees 1 Sampling and Data Collection Plan This paper will discuss the methods and procedures to be used and done in the study to help understand the production variances in the different shifts at Wilmington Widgets. The different data collection methods, the sample and sampling techniques, and statistical treatment of data will help explain the differences in production levels. Background and Hypothesis of the Study Wilmington Widgets is an organization that specializes in the mass production of widgets. The CEO of the company noticed there were differences in outputs and has contracted Learning Team C to understand the differences were simply random variances or if the differences corresponded to the varies shifts. The null hypothesis (Ho): there is no difference in productivity outputs dependent on shift (1st, 2nd, or 3rd). The alternative hypothesis (H1): there is a difference in productivity outputs dependent on shift (1st, 2nd, or 3rd). Data Collection Method Used Data mining and stratified random sampling will be used in gathering the data needed in this study. The data mining will be used to track absenteeism. The data collected will be divided into one of three groups according to the shifts that the individual works. No names or employee numbers will ever be collected to protect the privacy of the employees. The survey method, also known as the questionnaire method, will be utilized. Learning Team C will construct a questionnaire and administer the survey to the employees. Data Mining The data that will be collected regarding employee’s attendance records will be handled with the up most care and privacy. The data will be subcategorized by the shift rotation and the number of unplanned absences. This quantitative data will only involves numbers that will be collected and analysis giving insight of the frequency, mean, median and mode of the occurrences. Stratified Random Sampling The employees will be requested to answer a survey-questionnaire, each grading the statements using the Likert scale (Cooper. & Schindler, 2011, p. 299). The weights for the answers will be as follows: Range Interpretation 0.00 – 1.49 Strongly Agree 1.50 – 2.49 Agree 2.50 – 3.49 Undecided 3.50 – 4.49 Disagree 4.50 – 5.00 Strongly Disagree The Likert questionnaire will present a set of attitude or morale statements where subjects of a study are asked to express agreement or disagreement using a five-point scale. This is known as qualitative data, where the numbers are only used to categorize (McClave., Benson., & Sincich, 2011, p. 13). The degree of agreement or disa ...

1. Running head: Control Measures for Call Center Employees
1
Sampling and Data Collection Plan
This paper will discuss the methods and procedures to be used
and done in the study to help understand the production
variances in the different shifts at Wilmington Widgets. The
different data collection methods, the sample and sampling
techniques, and statistical treatment of data will help explain
the differences in production levels.
Background and Hypothesis of the Study
Wilmington Widgets is an organization that specializes in the
mass production of widgets. The CEO of the company noticed
there were differences in outputs and has contracted Learning
Team C to understand the differences were simply random
variances or if the differences corresponded to the varies shifts.
The null hypothesis (Ho): there is no difference in productivity
outputs dependent on shift (1st, 2nd, or 3rd). The alternative
hypothesis (H1): there is a difference in productivity outputs
dependent on shift (1st, 2nd, or 3rd).
Data Collection Method Used
Data mining and stratified random sampling will be
used in gathering the data needed in this study. The data mining
will be used to track absenteeism. The data collected will be
divided into one of three groups according to the shifts that the
individual works. No names or employee numbers will ever be
collected to protect the privacy of the employees. The survey
method, also known as the questionnaire method, will be
utilized. Learning Team C will construct a questionnaire and
administer the survey to the employees.
Data Mining

2. The data that will be collected regarding employee’s attendance
records will be handled with the up most care and privacy. The
data will be subcategorized by the shift rotation and the number
of unplanned absences. This quantitative data will only involves
numbers that will be collected and analysis giving insight of the
frequency, mean, median and mode of the occurrences.
Stratified Random Sampling
The employees will be requested to answer a survey-
questionnaire, each grading the statements using the Likert
scale (Cooper. & Schindler, 2011, p. 299). The weights for the
answers will be as follows:
Range Interpretation
0.00 – 1.49 Strongly Agree
1.50 – 2.49 Agree
2.50 – 3.49 Undecided
3.50 – 4.49 Disagree
4.50 – 5.00 Strongly Disagree
The Likert questionnaire will present a set of attitude or
morale statements where subjects of a study are asked to
express agreement or disagreement using a five-point scale.
This is known as qualitative data, where the numbers are only
used to categorize (McClave., Benson., & Sincich, 2011, p. 13).
The degree of agreement or disagreement is given a numerical
value ranging from one to five expressing different levels of
agreement or disagreement.
Sample and Sampling Technique
The respondents of the sample will be asked by varies
departments to come in five minutes before first break to
complete the survey. The stratified sampling technique using

3. surveys that will be disbursed over one week’s time to disrupt
the workflow as little as possible. There will only be small
groups allowed in a room, without supervision, to complete the
surveys. There will be a box in the room that collects the
completed surveys. The employee must be allowed to give
responses with the complete knowledge that the survey will not
be tracked. The paper for the surveys will be color code
according to the shift that is answering the questions. Green
paper will be given to the first shift, yellow paper will be given
to the second shift, and blue paper will be given to the third
shift. The color coding of the color of paper will allow the only
distinction for the collected surveys to be the shift that is
worked.
Conclusion
Learning Team C postulates that there is a difference in
production output levels based on shift.Learning team will fail
to reject the null hypothesis (Ho): there is no difference in
productivity outputs dependent on shift (1st, 2nd, or 3rd).
Assuming there is a 95% confidence level, the likelihood that
outputs are the same for the different shifts has the interval of
(169.4,189.1). The mean of the other shifts do fall within the
95% confidence interval, however this calculation does not
exclude the outlying fact that one of the shifts produced no
output due to being shut down.
.
Reference
Cooper., D.R., & Schindler, P.S. (2011). Business Research
Methods (11th ed.). Retrieved from
The University of Phoenix eBook Collection database.
McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics
for Business and Economics
(11th ed.). Retrieved from The University of Phoenix
eBook Collection database.

4. Appendix A
Learning Team C Data Set
WEEK 1
Week 1 Output
WEEK 2
Week 2 Output
Day
Shift
Output
Day
Shift
Output
M
1
150
1
900
M
1

5. 155
1
900
2
165
2
160
3
205
2
910
3
185
2
900
T
1
195

6. T
1
175
2
175
3
1005
2
175
3
955
3
215
3
195
W
1
185

7. W
1
195
2
195
2
185
3
205
3
185

8. Th
1
185
Th
1
185
2
180
2
195
3
200
3
205

9. F
1
185
F
1
190
2
195
2
185
3
180

10. 3
185
WEEK3
Week 3 Output
WEEK 4
Week 4 Output
Day
Shift
Output
Day
Shift
M
1
155
1
910

11. M
1
115
1
875
2
160
2
165
3
200
2
905
3
190
2
855
T
1
200

12. T
1
200
2
190
3
1025
2
135
3
775
3
215
3
195
W

13. 1
175
W
1
190
2
185
2
180
3
225
3
215

14. Th
1
185
Th
1
195
2
190
2
185
3
200

15. 3
0
F
1
195
F
1
175
2
180
2
190
3
185

16. 3
175

17. Total Production
Goals
1

18. 3585
Per Shift
185
2
3570
Per Week
925
3
3760
Per Month
3700

19. Total
10915
Appendix B
Raw Data Calculations
1st Shift
2nd Shift
3rd Shift
Mean
=179.25
Mean
=178.5
Mean =188
Median
=185

20. Median
=182.5
Median =197.5
Std Dev
=21.11
Std Dev
=15.14
Std Dev =46.21
# of Days =20
# of Days
=20
# of Days =20
At a 95% Confidence level that there is no difference in the
mean of the shifts.
(169.4, 189.1)
The means of the other shifts fall within this interval. The null
hypothesis (Ho): there is no difference in productivity outputs
dependent on shift (1st, 2nd, or 3rd) is accepted.