Qnt351 qnt 351

1. QNT 351
Quantitative Analysis for Business
The Latest Version A+ Study Guide
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QNT 351 Entire Course Link
https://uopcourses.com/category/qnt-351/
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QNT 351 Week 1 Individual Assignment - 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.
QNT 351 Week 2 Learning Team Paper - Data Collection
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.
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, quantitative, or both—and how the data is collected.

2.  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.
QNT 351 Week 2 Learning Team Presentation - Data Collection
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.
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, 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.

3.  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.
QNT 351 Week 2 MyStatLab Problems
Complete the assigned problems in MyStatLab®
.
Note: You will have an unlimited number of attempts to answer each problem correctly.
QNT 351 Week 3 Learning Team Paper - Summarizing and Presenting Data
If using RES/351 data:
Revise the report submitted in Week Two based on the feedback provided by the instructor in the Learning
Team assignment, and insight gained by reading.
Summarize the data collected 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.

4. If using the Ballard Integrated Managed Services, Inc., (BIMS) case study overview:
Revise the report submitted in Week Two based on the feedback provided by the instructor in the Learning
Team assignment, and insight gained by reading.
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.
QNT 351 Week 3 MyStatLab Problems
Complete the assigned problems in MyStatLab
®
.
Note: You will have an unlimited number of attempts to answer each problem correctly.
QNT 351 Week 4 Learning Team Paper - 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.
QNT 351 Week 4 MyStatLab Problems
Complete the assigned problems in MyStatLab
®
.
Note: You will have an unlimited number of attempts to answer each problem correctly.
QNT 351 Week 5 Learning Team Assignment - 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.

5. 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 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.
QNT 351 Week 5 MyStatLab Problems
Complete the assigned problems in MyStatLab
®
.
Note: You will have an unlimited number of attempts to answer each problem correctly.
QNT 351 Weeks 1-5 All DQs
Week 1, DQ 1
What is the importance of statistics in business decision making? Describe a business
situation where statistics was used in making a decision.
Week 1, DQ 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 every research? Explain why

6. or why not. Provide examples.
Week 1, DQ 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:
Level of Measurement
Descriptive Stat and Justify Selection Nominal Ordinal Interval Ratio
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 2, DQ 3
Select an article from a news magazine or research journal where data is displayed in a
graph. Describe the data displayed in the graph and what conclusion you could draw. Be
sure to include a reference to the article that you used.
Week 3, DQ 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.
Times(minutes): 6, 7.5, 9, 11, 11, 11.5, 12, 12.5, 13, 14, 15, 16, 17, 17, 17.5, 18.5, 20.5,
22, 24, 29

7. 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 3, DQ 3
How would you calculate area between two data values? How would you calculate area
above or below a certain value? How can knowing these areas help you?
Week 4, DQ 1
What is the 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.
Week 4, DQ 2
Why does the significance level differ among industries? Will the null hypothesis be
more likely to be rejected at α = 0.01 than α = 0.10? As the significance level increases to α =
0.10 from α = 0.01, which type error is more likely to occur? What can be done to reduce the
likelihood of incurring this error?
Week 4, DQ 3
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
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

8. can organizations skew the statistical outcomes of their business research?
Week 5, DQ 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.