QNT/351 Quantitative Analysis for Business / University of Phoenix / Assignments and DQs
Week 1 Individual Statistics in Business | 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. |
Week 2 Learning Team Data Collection | Usethe data from University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1.
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.
As consultants to BIMS, your Learning Team is expected to prepare and deliver a professional product addressing the client's needs. |
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. |
Learning Team Week 5 Analyzing and Interpreting Data |
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 that 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. |
Discussions:
Week 1 DQ 1
How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in every research? Explain why or why not. Provide examples.
Week 1 DQ 2
What are the four data measurement scales? Explain with examples. Which level of measurement is lowest and why?
Week 2 DQ 1
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? Provide examples other than those already posted in class.
Week 2 DQ 2
Can mean, median, or mode be calculated from all statistical data? Explain why or why not. When is the mean the best measure of central tendency? When is the median the best measure of central tendency?
Week 3 DQ 1
What is the role of probability concepts in business decision-making? Provide specific examples.
Week 3 DQ 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.
Week 4 DQ 1
What are the five steps in the hypothesis testing procedure? Are the steps followed in sequence? Explain why or why not. How does the five-step procedure for hypothesis testing differ when comparing two groups using a t- or z-test? How is the process similar?
Week 4 DQ 2
Why is the coefficient of correlation an important tool for statisticians? Provide some specific examples from real life.
Week 5 DQ 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?
Week 5 DQ 2
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.
13 years ago
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