QNT 351 - Entire Week 2 - 61727

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QNT 351 - Entire Week 2

Learning Team - Data Collection (Ballard Integrated Managed Services, Inc.)

Use either the data one of your Learning Team members retained from RES/351 or the data from University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1. In either case, make sure you have the raw data from each variable of interest.

 

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 the instrument used for data collection.
  • Identify types of data-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 the 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), Part 1 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 the 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.

 

Discussion Question 1 : Select an article from a news magazine or research journal where data is displayed in a pie or bar chart. Describe the data displayed in the chart and what conclusion you could draw.

 

Discussion Question 2 : What are data? What is the relationship between data and variables? What is your understanding of meaningful data?

 

Discussion Question 3 : What are the various methods one can use to identify the shape of data distribution collected for research study? Why it is important to know the shape of distribution? How it can be used in decision making?

 

Solution Description

QNT 351 - Entire Week 2

Learning Team - Data Collection (Ballard Integrated Managed Services, Inc.)

Use either the data one of your Learning Team members retained from RES/351 or the data from University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1. In either case, make sure you have the raw data from each variable of interest.

 

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

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QNT 351 Week 2.zip
QNT 351 Week 2....