# QNT 351 - Entire Course - 63117

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QNT 351 - Entire Course

QNT 351 – Entire Week 1

Write a 300-word summary that addresses the following criteria:

• Define statistics.
• Identify different types and levels of statistics.
• Describe the role of statistics in business decision making.
• Provide at least three examples or problem situations in which statistics was used or could be used.

Discussion Question 1 : What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision.

Discussion Question 2 : How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in each research? Explain why or why not. Provide specific examples showing the difference between dependent and independent variables.

Discussion Question 3 : Select four variables, other than what your fellow students have already selected, that could be measured by nominal, ordinal, interval, and ratio scale. Classify them by measurement scale and select descriptive statistics that can be used to summarize data. Use the following table when posting your response. Explain how you classified the variable by its level of measurement.

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.

• 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).

• 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?

QNT 351 – Entire Week 3

Learning Team – Summarizing and Presenting Data (Ballard Integrated Managed Services, Inc.)

If using RES/351 data:

Summarize the data collected from your Week 2 team assignment using descriptive statistics. Descriptive statistics should be in the forms of frequency distribution table, measures of mean, median, mode, standard deviation, and graphical display of data.

Summarize the statistics in relation to the problem selected and research questions and draw conclusions.

Prepare a 1,050- to 1,750-word report of conclusions drawn from the data and make recommendations to the management.

Support recommendations by citing literature consistent with APA guidelines.

If using the Ballard Integrated Managed Services, Inc., (BIMS) case study overview:

Analyze the data included in BIMS case study Part 1 by computing descriptive statistics in the form of tables, charts, measures of central tendency, and variability.

Prepare a 1,050- to 1,750-word report of conclusions drawn from the data and make recommendations to the management.

Support recommendations by citing literature consistent with APA guidelines.

Discussion Question 1 : An oil change shop advertised to change oil within 15 minutes. Based on the data collected on a typical day, what is the probability that oil change will take 15 minutes or less time? Based on the data, do you think the business claim is valid? Explain why or why not.

Discussion Question 2 : What are the characteristics of standard normal distribution? The HR department of an organization collects data on employees’ age, salary, level of education, gender, and ethnicity. Which data do you think is more likely to follow normal distribution? Explain why.

Discussion Question 3 : What is the role of probability concepts in business decision-making? Provide specific examples.

QNT 351 – Entire Week 4

Learning Team – Reflection

Discuss the following with your Learning Team:

• The steps in testing a research hypothesis
• Comparing the means of two or more groups
• Calculating the correlation between two variables

Include the topics you feel comfortable with, any topics you struggled with, and how the weekly topics relate to application in your field.

Prepare a 350- to 1,050-word paper detailing the findings of your discussion.

Discussion Question 1 : Why is the coefficient of correlation an important tool for statisticians? Provide some specific examples from real life.

Discussion Question 2 : What are some terms related to hypothesis testing with which you are already familiar? Why do null and alternative hypotheses have to be mutually exclusive?

Discussion Question 3 : What is it five-step process for hypothesis testing? Is the order important? Explain why or why not. Why do alphas differ among industries? How do ethics affect your chosen level of significance? Can you reject and accept the null hypothesis at the same time? Explain why or why not.

QNT 351 – Entire Week 5

Learning Team – Analyzing and Interpreting Data

If using RES/351 data:

Ask your instructor for specific information regarding the analysis you are required to perform for your data set.

Combine your Week Two Learning Team assignment and Week Three findings with Week Five findings and make a recommendation to the research problem.

Use the statistical tables given in the appendices of the textbook and a statistical analysis application: a Microsoft Excel spreadsheet, Minitab statistical software, or SPSS software.

Prepare a 1,050- to 1,750-word written report along with a 7- to 9-slide Microsoft PowerPoint presentation for the senior management team to present your findings.

If using the Ballard Integrated Managed Services, Inc. (BIMS) case study overview:

Resource: University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 2.

Read the University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 2. Your team acts as a consultant group that analyzes and interprets this second set of data. The intent is to increase senior management’s understanding of the sources of employee dissatisfaction and to create a model take predicts employee resignation.

Combine your Week Two Learning Team assignment and Week Three findings with Week Five findings and make a recommendation to BIMS.

Use the statistical tables given in the appendices of the textbook and a statistical analysis application: a Microsoft Excel spreadsheet, Minitab statistical software, or SPSS software.

Prepare a 1,050- to 1,750-word written report along with a 7- to 9-slide Microsoft PowerPoint presentation for the senior management team to present your findings (see Exhibit D for the data set of the second survey).

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 : How would you select appropriate statistical tests for analysis research data? What aspects of research questions or data types are relevant considerations in choosing your tests? Why?

Discussion Question 2 : How do you know you have validated a research study based on data gathered from primary or secondary sources? Have you been involved with any product test-marketing project? Explain. How did the resulting statistics affect the product’s marketing strategy? How can organizations skew the statistical outcomes of their business research?

Discussion Question 3 : In what way has the learning from this course helped you to effectively test hypotheses, draw conclusions, and provide recommendations to management? Consider what you have achieved in your research study conducted for this course.

*Final Examination is not included in this purchase*

Solution Description

QNT 351 - Entire Course

QNT 351 – Entire Week 1

Write a 300-word summary that addresses the following criteria:

• Define statistics.
• Identify different types and levels of statistics.
• Describe the role of statistics in business decision making.
• Provide at least three examples or problem situations in which statistics was used or could be used.

Discussion Question 1 : What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision.

Discussion Question 2 : How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in each research? Explain why or why not. Provide specific examples showing the difference between dependent and independent variables.

Discussion Question 3 : Select four variables, other than what your fellow students have already selected, that could be measured by nominal, ordinal, interval, and ratio scale. Classify them by measurement scale and select descriptive statistics that can be used to summarize data. Use the following table when posting your response. Explain how you classified the variable by its level of measurement.

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.

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