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QNT 351 Week 2 Individual Assignment Data Collection
$7.00

QNT 351 Week 2 Individual Assignment Data Collection

This Tutorial was purchased 24 times & rated A by student like you.

 

This Tutorial contains following Attachments

  • QNT 351 Week 2 Learning Team Assignment Data Collection.docx
  • QNT 351 Week 2 Learning Team Assignment Data Collection.pptx

Discuss with your team whether you have data from RES/351, and if your team would like to use one team member’s data for the Learning Team assignments in this course.

 

If using data from RES/351:

 

Resources: Data collected from RES/351

 

Prepare a 700- to 1,050-word written report along with a 5- to 7-slide Microsoft® PowerPoint® presentation for the senior management team or stakeholders of your RES/351 research project to present your findings.

 

Address the following:

 

  • Present the chosen situation as an overview—problem, purpose, research questions, and hypotheses.
  • Describe and the instrument used for data collection.
  • Identify types of data—quantitative, quantitative, or both—and how the data is collected.
  • Identify the level of measurement for each of the variables involved in the study.
  • Code the data if you have not done so. Describe how the data is coded and evaluate the procedure used.
  • Clean the data by eliminating the data input errors made.
  • Draw conclusions about appropriateness of data to meet the purpose of the study.

 

If you decide not to use your own data, you can use the Ballard Integrated Managed Services, Inc., case study overview:

 

Resources: University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1

 

Review the Ballard Integrated Managed Services, Inc. (BIMS) case study overview.

 

Prepare a 700- to 1,050-word written report along with a 5- to 7-slide Microsoft® PowerPoint® presentation for the senior management team to present your findings (see Exhibit D for the data set of the second survey).

 

Address the following:

 

  • Present the BIMS situation as an overview—problem, purpose, research questions, and hypotheses.
  • Describe the instrument used for data collection.
  • Identify types of data collected—quantitative, qualitative, or both—and how the data is collected.
  • Identify the level of measurement for each of the variables involved in the study.
  • Code the data if you have not done so. Describe how the data is coded and evaluate the procedure used.
  • Clean the data by eliminating the data input errors made.
  • Draw conclusions about appropriateness of data to meet the purpose of the study.

 

Note. As consultants to BIMS, your Learning Team is expected to prepare and deliver a professional product addressing the client's needs.

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