# QNT 351 Entire Course

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QNT 351 Entire Course Link

https://uopcourses.com/category/qnt-351/

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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.

your Learning Team members retained from RES/351 or the data from University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1.

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:

RES/351

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:

Material: Ballard Integrated Managed Services, Inc., Part 1

overview.

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.

Team is expected to prepare and deliver a professional product addressing the

client's needs.

your Learning Team members retained from RES/351 or the data from University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1.

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:

RES/351

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:

Material: Ballard Integrated Managed Services, Inc., Part 1

overview.

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.

Team is expected to prepare and deliver a professional product addressing the

client's needs.

MyStatLab®.

answer each problem correctly.

If using RES/351 data:

Two based on the feedback provided by the instructor in the Learning Team

assignment, and insight gained by reading.

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.

to the problem selected and research questions and draw conclusions.

report of conclusions drawn from the data and make recommendations to the

management.

literature consistent with APA guidelines.

If using the Ballard Integrated Managed

Services, Inc., (BIMS)

case study overview:

Two based on the feedback provided by the instructor in the Learning Team

assignment, and insight gained by reading.

study Part 1 by computing descriptive statistics in the form of tables, charts,

measures of central tendency, and variability.

of conclusions drawn from the data and make recommendations to the management.

guidelines.

MyStatLab®.

answer each problem correctly.

Learning Team:

·

The steps in testing a

research hypothesis

·

Comparing the means of two or

more groups

·

Calculating the correlation

between two variables

comfortable with, any topics you struggled with, and how the weekly topics

relate to application in your field.

discussion.

MyStatLab®.

answer each problem correctly.

If using RES/351 data:

specific information regarding the analysis you are required to perform for

your data set.

Team assignment and Week Three findings with Week Five findings and make a

recommendation to the research problem.

given in the appendices of the textbook and a statistical analysis application:

a Microsoft® Excel® spreadsheet, Minitab®

statistical software, or SPSS™ software.

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:

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.

given in the appendices of the textbook and a statistical analysis application:

a Microsoft® Excel® spreadsheet, Minitab®

statistical software, or SPSS™ software.

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).

Team is expected to prepare and deliver a professional product addressing the

client’s needs.

MyStatLab®.

answer each problem correctly.

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

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

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 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.

QNT 351 Entire Course Link

https://uopcourses.com/category/qnt-351/

*************************************

**QNT 351 Week 1 Individual**

Assignment - Statistics in BusinessAssignment - Statistics in Business

**Write**a 300-word summary thataddresses 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 CollectionWeek 2 Learning Team Paper - Data Collection

**Use**either the data one ofyour 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 youhave 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 fromRES/351

**Prepare**a 700- to 1,050-wordwritten 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.

·

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 PhoenixMaterial: Ballard Integrated Managed Services, Inc., Part 1

**Review**the Ballard Integrated Managed Services, Inc. (BIMS), Part 1 case studyoverview.

**Prepare**a 700- to 1,050-wordwritten 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 LearningTeam is expected to prepare and deliver a professional product addressing the

client's needs.

**QNT 351**

Week 2 Learning Team Presentation - Data CollectionWeek 2 Learning Team Presentation - Data Collection

**Use**either the data one ofyour 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 youhave 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 fromRES/351

**Prepare**a 700- to 1,050-wordwritten 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.

·

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 PhoenixMaterial: Ballard Integrated Managed Services, Inc., Part 1

**Review**the Ballard Integrated Managed Services, Inc. (BIMS), Part 1 case studyoverview.

**Prepare**a 700- to 1,050-wordwritten 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 LearningTeam is expected to prepare and deliver a professional product addressing the

client's needs.

**QNT 351**

Week 2 MyStatLab ProblemsWeek 2 MyStatLab Problems

**Complete**the assigned problems inMyStatLab®.

*Note:*

You will have an unlimited number of attempts toanswer each problem correctly.

**QNT 351**

Week 3 Learning Team Paper - Summarizing and Presenting DataWeek 3 Learning Team Paper - Summarizing and Presenting Data

If using RES/351 data:

**Revise**the report submitted in WeekTwo based on the feedback provided by the instructor in the Learning Team

assignment, and insight gained by reading.

**Summarize**the data collected usingdescriptive 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 relationto the problem selected and research questions and draw conclusions.

**Prepare**a 1,050- to 1,750-wordreport of conclusions drawn from the data and make recommendations to the

management.

**Support**recommendations by citingliterature consistent with APA guidelines.

If using the Ballard Integrated Managed

Services, Inc., (BIMS)

case study overview:

**Revise**the report submitted in WeekTwo based on the feedback provided by the instructor in the Learning Team

assignment, and insight gained by reading.

**Analyze**the data included in BIMS casestudy 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 reportof conclusions drawn from the data and make recommendations to the management.

**Support**recommendations by citing literature consistent with APAguidelines.

**QNT 351**

Week 3 MyStatLab ProblemsWeek 3 MyStatLab Problems

**Complete**the assigned problems inMyStatLab®.

*Note:*

You will have an unlimited number of attempts toanswer each problem correctly.

**QNT 351**

Week 4 Learning Team Paper - ReflectionWeek 4 Learning Team Paper - Reflection

**Discuss**the following with yourLearning 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 feelcomfortable 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 yourdiscussion.

**QNT 351**

Week 4 MyStatLab ProblemsWeek 4 MyStatLab Problems

**Complete**the assigned problems inMyStatLab®.

*Note:*

You will have an unlimited number of attempts toanswer each problem correctly.

**QNT 351**

Week 5 Learning Team Assignment - Analyzing and Interpreting DataWeek 5 Learning Team Assignment - Analyzing and Interpreting Data

If using RES/351 data:

**Ask**your instructor forspecific information regarding the analysis you are required to perform for

your data set.

**Combine**your Week Two LearningTeam assignment and Week Three findings with Week Five findings and make a

recommendation to the research problem.

**Use**the statistical tablesgiven 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-wordwritten 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 PhoenixMaterial: 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 LearningTeam assignment and Week Three findings with Week Five findings and make a

recommendation to BIMS.

**Use**the statistical tablesgiven 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-wordwritten 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 LearningTeam is expected to prepare and deliver a professional product addressing the

client’s needs.

**QNT 351 Week 5 MyStatLab Problems****Complete**the assigned problems inMyStatLab®.

*Note:*

You will have an unlimited number of attempts toanswer 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 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

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 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.

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