# QNT 351 Entire Course

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QNT 351 Week 1 Individual

Write a 300-word summary that

·
Define statistics.

·
Identify different types and
levels of statistics.

·
Describe the role of

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.

·
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.

·
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.

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.

·
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.

·
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.

QNT 351
Week 2 MyStatLab Problems

Complete the assigned problems in
MyStatLab®.

Note:
You will have an unlimited number of attempts to

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.

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

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

QNT 351
Week 5 Learning Team Assignment - Analyzing and Interpreting Data

If using RES/351 data:

specific information regarding the analysis you are required to perform for

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:
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.

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.

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:
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

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 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

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

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

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 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.