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Submitted by neel on Wed, 2013-05-22 15:02
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QNT/351 Quantitative Analysis for Business (university of phoenix)

Course Schedule

 

Our course will meet each Thursday evening from 6–10 pm at the Honolulu Main Campus from April 18, 2013 through May 16, 2013.  Specific dates for our class meetings are as follows:

 

Week One: Thursday April 18

Week Two: Thursday April 25

Week Three: Thursday May 2

Week Four: Thursday May 9

Week Five: Thursday May 16

 

Policies

 

Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents:

 

·        

University policies: You must be logged into the student website to view this document.

·        

Instructor policies: This document is posted in the Course Materials forum.

 

University policies are subject to change. Be sure to read the policies at the beginning of each class. Policies may be slightly different depending on the modality in which you attend class. If you have recently changed modalities, read the policies governing your current class modality.

 

Course Materials

 

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2011). Basic statistics for business and economics (7th ed.). New York, NY: McGraw-Hill/Irwin.

 

McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for business and economics (11th ed.). Boston, MA: Pearson-Prentice Hall.

 

All electronic materials are available on the student website.

 

Week One: Understanding the Meaning of Statistics

 

Details

Due

Points

Objectives

1.1 

Explain the role of statistics in business research and its application in business decision making.

1.2 

Differentiate between qualitative and quantitative variables.

1.3 

Differentiate among the four levels of measurement and how they are used in data collection for research.

 

 

Reading

Read Ch. 1 of Statistics for Business and Economics.

 

 

Reading

Read “Levels of Measurement” in Ch. 1 of Basic Statistics for Business and Economics.

 

 

Participation

Participate in class discussion and respond to weekly in-class discussion questions.

In-class

4

Nongraded Activities and Preparation

Week One Activity

Develop five demographic questions to measure gender, age, years of experience, level of education, and ethnicity. Identify the level of measurement used.

 

 

Nongraded Activities and Preparation

Four Levels of Measurement Scenario

Data was collected by a large car manufacturer concerning a new prototype car, the Cielo. Thirty carefully selected respondents were shown the car and fully briefed about its capabilities. The data collected included age in years, gender, social status—ranging from 10, low status, to 30, high status measured by Likert scale; attitude toward the Cielo—ranging from 6, negative attitude, to 30, positive attitude measured by Likert Scale; and intention to purchase the Cielo—yes or no.

 

Use the previous scenario to identify the following:

 

·        

Whether the data is qualitative or quantitative

·        

The measurement level for each variable

 

Justify your answer with your understanding of four levels of measurement.

Develop 1 to 2 research questions that could be answered by the data.

Discuss how the findings might help with business decision making.

Format your citations consistent with APA guidelines.

 

 

Nongraded Activities and Preparation

MyStatLab® Orientation

Review the MyStatLab®  Student Instructions PowerPoint® presentation.

Log on
to MyStatLab®.

Complete the MyStatLab® Orientation exercise.

 

 

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.

 

Attach a copy of a Plagiarism Checker report generated from the Center for Writing Excellence located on your student rEsource site.  Failure to attach this report will result in a 5% reduction in your points earned.  Please plan ahead for potential slow returns (up to three hours) of this report from the Center for Writing Excellence.

 

Format paper consistent with APA guidelines.

11:59 pm

Hawaiian

4/18/13

5

 

 

Week Two: Describing Data

 

Details

Due

Points

Objectives

2 

 

2.1 

Present qualitative and quantitative data in tables and charts.

2.2 

Calculate central tendency and dispersion.

2.3 

Describe the shape of data distribution in charts—box plot, stem and leaf plot, dot plot, and so on.

 

 

Reading

Read Ch. 2 of Statistics for Business and Economics.

 

 

 

Reading

Read Ch. 4 of Basic Statistics for Business and Economics

 

 

Participation

Participate in class discussion and respond to weekly in-class discussion questions.

In-class

4

Nongraded Activities and Preparation

Week Two Activity

Resource: University of Phoenix Material: Optional Activity Data Set

Download the optional activity data set.

Review the age and gender data in the data set.

Display gender information in a chart and plot age data in a box plot.

Calculate the appropriate measure of central tendency and variability for the age and gender. What conclusion can you draw from the data?

 

 

Individual

MyStatLab®  Problems

Complete the assigned problems in MyStatLab®.

 

Note: You will have an unlimited number of attempts to answer each problem correctly.

11:59 pm

Hawaiian

4/25/13

6

Learning Team

Data Collection and Presentation

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 5-10 minute 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 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 5-10 minute 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.

 

Present your Learning Team analysis to the class with a 5-10 minute (plus Q&A) PowerPoint presentation.

11:59 pm

Hawaiian

4/25/13

8

 

 

Week Three: Probability Concepts and Continuous Probability

 

Details

Due

Points

Objectives

3 

 

3.1 

Explain discrete and continuous probability, rules of probability, and classical, empirical, and subjective approaches to probability.

3.2 

Describe characteristics of standard normal distribution.

3.3 

Calculate area between two data values and area above or below a certain value.

 

 

Reading

Read Ch. 3 of Statistics for Business and Economics.

 

 

Reading

Read Ch. 4 of Statistics for Business and Economics.

 

 

Reading

Read Ch. 5 of Basic Statistics for Business and Economics.

 

 

Participation

Participate in class discussion and respond to weekly in-class discussion questions.

In-class

4

Nongraded Activities and Preparation

Standard Error of Mean

Calculate standard error of mean and make an inference about the accuracy of the mean by analyzing problem 4.164 in Statistics for Business and Economics.

 

 

Nongraded Activities and Preparation

Associated Probability

Resources: Table IV in Appendix B of Statistics for Business and Economics

Demonstrate how to find the area under the normal curve.

Determine the associated probability with z-score = 1.96.

Open Table IV Under Curve areas and find .475.

Find the same information by working the problem backwards, starting with the alpha (significance level).

 

 

Individual

MyStatLab®  Problems

Complete the assigned problems in MyStatLab®.

 

Note: You will have an unlimited number of attempts to answer each problem correctly.

11:59 pm

Hawaiian

5/2/13

6

Learning Team

Summarizing and Presenting Data and Presentation

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.

 

Attach a copy of a Plagiarism Checker report generated from the Center for Writing Excellence located on your student rEsource site.  Failure to attach this report will result in a 5% reduction in your points earned.  Please plan ahead for potential slow returns (up to three hours) of this report from the Center for Writing Excellence.

 

Format paper consistent with APA guidelines.

 

Present your Learning Team analysis to the class with a 5-10 minute (plus Q&A) PowerPoint presentation.

11:59 pm

Hawaiian

5/2/13

8

 

 

Week Four: Hypothesis Testing

 

Details

Due

Points

Objectives

4 

 

4.1 

Apply the steps in testing a research hypothesis.

4.2 

Compare the means of two or more groups.

4.3 

Calculate the correlation between two variables.

 

 

Reading

Read sections 6.1 – 6.4 in Ch. 6 of Statistics for Business and Economics.

 

 

Reading

Read sections 7.1 & 7.2 in Ch. 7 of Statistics for Business and Economics.

 

 

Reading

Read section 8.2 in Ch. 8 of Statistics for Business and Economics.

 

 

Reading

Read sections 10.1 – 10.5 in Ch.10 of Statistics for Business and Economics.

 

 

Participation

Participate in class discussion and respond to weekly in-class discussion questions.

In-class

4

Nongraded Activities and Preparation

Week Four Activity

Resource: University of Phoenix Material: Optional Activity Data Set

 

Conduct hypothesis testing, using the Optional Activity Data Set to find if there is any difference in the age and work experience of male and female students in the class.

 

Test the hypothesis to see if there is a significant difference in the time spent in completing homework by male and female students.

 

 

Individual

MyStatLab®  Problems

Complete the assigned problems in MyStatLab®.

 

Note: You will have an unlimited number of attempts to answer each problem correctly.

11:59 pm

Hawaiian

5/9/13

6

Learning Team

Reflection and Presentation

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.

 

Attach a copy of a Plagiarism Checker report generated from the Center for Writing Excellence located on your student rEsource site.  Failure to attach this report will result in a 5% reduction in your points earned.  Please plan ahead for potential slow returns (up to three hours) of this report from the Center for Writing Excellence.

 

Format paper consistent with APA guidelines.

 

Present your Learning Team analysis to the class with a 5-10 minute (plus Q&A) PowerPoint presentation.

11:59 pm

Hawaiian

5/9/13

8

 

 

Week Five: Integrating Research and Statistics

 

Details

Due

Points

Objectives

5 

 

5.1 

Select an appropriate statistical test for analysis research data based on research questions and data type.

5.2 

Interpret data analysis results to reach conclusions.

5.3 

Make a recommendation about a problem based on data analysis results and conclusions drawn.

 

 

Reading

Review all course textbook readings.

 

 

Participation

Participate in class discussion and respond to weekly in-class discussion questions.

In-class

4

Nongraded Activities and Preparation

Week Five Activity

Resource: University of Phoenix: Optional Activity Data Set

 

Use the Optional Activity Data Set to list the various statistical tests that can be used to compare the groups based on gender or age. Answer the following question:

 

·        

What statistical analysis can be done to see the effect of both age and gender on time spent completing homework?

 

Justify your answer, remembering the sample size and data type.

 

 

Individual

MyStatLab®  Problems

Complete the assigned problems in MyStatLab®.

 

Note: You will have an unlimited number of attempts to answer each problem correctly.

11:59 pm

Hawaiian

5/16/13

6

Individual

Final Examination

Click the link to the Final Examination.

 

Complete the Final Examination. Only one attempt is allowed, which is timed and must be completed in 3 hours.

5:59 pm

Hawaiian

5/16/13

15

Learning Team

Analyzing and Interpreting Data and Presentation

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 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 15-20 minute Microsoft® PowerPoint® presentation for the senior management team to present your findings (see Exhibit D for the data set of the second survey).

 

Attach a copy of a Plagiarism Checker report generated from the Center for Writing Excellence located on your student rEsource site.  Failure to attach this report will result in a 5% reduction in your points earned.  Please plan ahead for potential slow returns (up to three hours) of this report from the Center for Writing Excellence.

 

Format paper consistent with APA guidelines.

 

Note. As consultants to BIMS, your Learning Team is expected to prepare and deliver a professional product addressing the client’s needs.

 

Present your Learning Team analysis to the class with a 15-20 minute (plus Q&A) PowerPoint presentation.

11:59 pm

Hawaiian

5/16/13

12

 

 

Answer
Submitted by neel on Wed, 2013-05-22 16:24
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QNT/351 week 5

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xx

xxxx

xxxxxxxx xxxx x

x x Points C x Calories F x xxxxx = Fiber

xxxxxxxx Team B

xxxxxxxx xxxx B

xxxxxxxx Team B

Learning xxxx B

xxxxxxxx Team B

Learning Team B

xxxxxxxx xxxx B

xxxxxxxx Team x

xxxx Section

Gathered xxxxx xxxxx Facts xxxxxx

xxxxxxxx xxxx B

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Running xxxxx xxxxxxxx’s Versus xxxxxx xxx

xxxxxxxx’x Versus Subway 5

McDonald’s Versus Subway

QNT/351

May 16, 2013

xxxxxxxx’s xxxxxx xxxxxx

The xxxxxxx xx xxxxx something xxxxxxxxxxxxxx is xxxxxxx xxxxx xxxxxxxxx as long xx there xxx xxxxxxxx variables in xxx xxxxxxxx xxxxxxxxx are xx xxxx xxxxxxxxx to any issue xxxxxxx that providing xxxxx xx an absolute is xxxxxxxx Taking xxxx xxxxx into consideration xx xxx of the main xxxxxxx scientific comparisons isoften xxxxxxxxxxxxx xxx ability xx xxxx x general xxxxxxxxx in reference to a xxxxxxxxxx assisted by xxxxxxxxxxxx data xxxxx xxxx xx xxxxxxxx xxx popular xxxxxxxx Taking xxxx consideration xxx xxxxxxxxx xxxxxxxx’x xxx Subway xxxxx xx xxx xxxx xxxx xxxxxxxxx xxxxxx and second xxxxxxxxxxxxx x xxxxxxxxxx between xxx xxx companies is idea. Considering number xx xxxxxxx public opinion, cultural xxxxxxxxxxx and x xxxxxxxx of other xxxxxxxxx in comparing the xxxxxxxxxx one xxxxxx can provide xxxxx xxxx xxxxxxx

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xxxx xxxxxxxx xxxxx xxxxxx xxxxxxxxx Alvin, xxx xxxx

xxx

xxx 351

Here xx the Prezi xxxxx

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx&xxxxxxxxxxxxxxx

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xx

xx

xx

xx

xx

xx

xx

xxx

xxx

Q12

Q13

xxx

Q15


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Submitted by neel on Wed, 2013-05-22 15:48
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QNT/351 week 4 assignment and problems

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Reflection xxx xxxxxxxxxxxx

xxx 351

May 9, xxxx

Running xxxxx xxxxxxxxxx AND xxxxxxxxxxxx

x

x

REFLECTION xxx PRESENTATION

x

Reflection xxx Presentation

Team B xxxxxxx to relate xxxx week’s xxxxxx to the xxxxxxx xxxx project xxxxxxxxxxx xxxx xxxxx xxx xxxxxxxxx xx relation xx xxx healthiness xx Subway xxxxx versus McDonald’x xxxxxx xxx xxxx recognizes xxxx drawing conclusions from xxxxxxxxxxx xxxx is xxxxxxxxx xx xxxxxx managerial xxxxxxxxxx Based on the information xxx team xxxxxxxx xxxx the xxxxxxxx xxxx B xxx recommend changes to xxxx xxxx xxxxxxxxxxxxx xxxxxxxx sales—an xxxxxxxxx xxxxx xxx xxxxxxxx xxxxxxxxxx xxxxxxx

Testing x Research Hypothesis

xxx xxxxxxxx xxxxxxxxxx xxx alternative xxxxxxxxxxx in xxx team’s xxxxxxx was that Subway is not xxxxxxxxx healthier xxxx McDonald’s. To xxxx this, xxx team xxx to come up with a xxxxxxxxxx for “xxxxxxxxxxx” and x way xx xxxxxxx this xxxxxxxxxxx xxx xxxx xxxxxxxxx that xxxxxxxxxxx xx xxxxxxxxx associated xxxx the xxxxxxx

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Props/items/printouts:

Sandwich xxx xxxxxx wrapper xx a xxxxxx sandwich Comment by x Crystal Hood:I xxxxxxxx x pb&j just xx xxxx ;)

desk name xxxxx xxx xxxxxxx

Subway name xxxx (identifier)

McDonalds name xxxx xxxxxxxxxxxx

McDonald’s Nutritional itemized xxxxx

Subway’x Nutritional itemized chart

xxxxxxxx’x menu with Weight xxxxxxx’s points

Subway’x xxxx with xxxxxx Watcher’x points

1. xxxxx Narration (Gabe):

2. McDonald’s xxxxxxxxxxxxx xxxxx xxx xxxx

Mike- “how is Subway catching up xx us? THey xxx number xx”

Al- “x xxx’t know, i xxxxx xxxxxx think xxxx xxxx xxx healthier because xx xxxx xxxxx xxx” xxxxxx the xxxxxx xxx xxx xxxx weight)

xxxxx “xxx are they healthier?” (or “what makes them xxxxxxxxxx”)

Al- “i xxx’x xxxxx xxxxx footlong xxx xxxx xxxxxxxx xxxx xxx xxx mac... x think we xxx xxxxxxxxx”

Mike- “we xxxxxx xxxxxxxxx xxxxxx” …xxxxxxxxxx “xxx xxxx xxxxx the fats??

Al-(INTERRUPTS) xxxx WHOA xxxxxx xx xxx’t xxx xxx F-word!! (fried foods xxx xxxx is xxx xxx xxxxx xx xxx

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xxx

Q1

xx

Q3

Q4

Q5

Q6

xx

Q8

xx

Q10

xxx

xxx

Q13

xxx

Q1


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QNT/351 week 3 assignment and problems

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Running xxxxx xxxxxxxxxxx xxxx xxx the Effects in xxxxxxxxxx 1

Comparative xxxx xxx xxx xxxxxxx xx Management 2

Comparative Data and xxx Effects in Management

QNT/351

May xxx xxxx

xxxxxxxxxxx Data xxx xxx Effects xx xxxxxxxxxx

xxxx collection xx data in any xxxxxxxx xxx be xx xxx xxxxxxxxx xx xxxxxxxxxxx xx xxxxxx within that field. xx the fast xxxx xxxxxxxxx surveys, xxx xxxxxxx of advertising, and xxxxxx opinion xx xxxxxxxx xx xxxxxxxxx xxx the xxxxxxx of xxx product xx business. xxxxxxxxxxxxxx xxxx is often not referenced leading xx xxxx xxxxxxxxx altering xxx xxxxxx and results xx xxxx xx xxxxxxx the xxxxxxxxx With xxx xxxxxxxxxxx of technology, xxxxxxxx the xxxxxx xxx xxxxx facts xxx xxxxxx xxxxxxxxxx xxxx and xxxxxxx xx well as the companies that publish the xxxxxxxxx xxxxxxxxxxxx xxxxxxxxxx data xxx xxxxxx xxxxxxx xxx provide an answer in relation xx xxxxxxx xxxxxxxx’s® xx xxxxxx® is xxxxxxxxx as well as provide xxxxxxxxxx with information xx assist

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VS

Main

Learning Team x

P x Points C x Calories F = xxxxx x xxxxxx

xxxxxxxx xxxx B

xxxxxxxx Team B

Learning Team x

Learning Team x

xxxxxxxx xxxx B

Learning Team B

xxxxxxxx Team x

Learning Team x

Sub- Section

Gathered xxxxx Stats xxxxx Graphs

xxxxxxxx Team x

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xx

xx

Q4

xx

xx

xx

Q8

Q9

Q10

xxx

xxx

Q13

Q14

xxx


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QNT/351 week 2 assignment and problems

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xxxxxxx xxxxx The Explanation xx Health 1

The Explanation xx Health xx

xxx xxxxxxxxxxx of xxxxxx

QNT/351

April 25, xxxx

The Explanation xx Health

xxx xxxx xxxx industry is quickly xxxxxxxxx Many xxxx food companies deliver xxx xxxx group of products xxx differ xxxx in the xxxxxxxxx xx xxxx xx the xxxx basic foods. xxxxx’xx xxxxxx xxxxx Sonics, xxxxx xxxxxxx xxx xx assortment xx other xxxx xxxx xxxxxxxxxxxxxx are xxxxxxxxxx to xxxxxx xxx xxxxxxx of the xxxxxxxx’x xxxx food chain. xxxxx xxxx however, xxxx companies xxxx offer x xxxxx xxxxx similar xx McDonald’s xxx xxxx xxxxx a xxxxxx xxxxxx in xxx product. Subway, xxx xxxxx xx xxxx food deli-style sandwiches, is leading xxx xxxx food industry xx providing a xxxxxxxxx choice xx xxxxxxxxx There xxx xxxx who believe that xxxxxx xx just xx unhealthy xx xxxxxxxxx xxx xx xxxx cases xxxx so. The research xxxx xxxxxxx xxxxxxxxxxx xxxxxxxxxxx xx prove that Subway xx generally healthier

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xxxxxxx xxxx 2

xx

Q9

xxx


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QNT/351 week 1

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xxxxxxx xxxxxSUMMARY x

SUMMARY2

Summary

QNT 351

xxxxxxx xxx 2013

-

Summary

Statistics

Statistics is x xxxxxxxxxxxxxx xx data in a mathematical xxxx xx xxxxxxxxxxx xxxxxxxxxx xxxxxxxxxxxxx xxxxxxxxxx xxx xxxxxxxxxxxxx It xxx xxxx help xx xxxxxxxxxxx xx xxxxxxxxx xxxxx xxx the xxxxxxxxxx xxx xxxxxxxxxxxx xx is applicable xx academic disciplines, xxxxxxx and xxxxxx xxxxxxxxx humanities and xxxxxxxxxx and xxxxxxxx (Define xxxxxxxxxxx (n.d.)). Statistics also refer to systematic arrangement of xxxxxxxxx xxxxx

Types of xxxxxxxxxx

Histogram

Circle graph

Line xxxxx

Bar xxxxx

xxxxxxxxxx

xxxxxxxxxxx

xxxxxx etc.

xxxxxx of xxxxxxxxxxxx xxxx

Nominal

Ordinal

xxxxx

Interval (Definitions, Uses, xxxx Types, and xxxxxx xx Measurement)

Role of xxxxxxxxxx xx business xxxxxxxx making

xxxxxxxxxx xxxxx a crucial role xx the xxxxxxxx making process. xxxx making business xxxxxxxxxx xxxxxxxxx have to sharp xxx xxxxxxxx xxx

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QNT 351 ENTIRE COURSE

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xxx 351 xxxxxx xxxxxx

DQ 2  xxxxxxx Dependent xxx xxxxxxxxxxx xxxxxxxxx xxx xxxxx Significance).docx

xx xxx (What is the xxxx of Probability xxxxxxxx xx Business Decision xxxxxx ).docx

DQ 2  xxxx xxxx xxx xxxxxxxxxxxx xxxxx xxxxxx xxxxx Industries).docx

xx x (Mean xxx Standard Deviation Can xx xxxx in Decision xxxxxxxxxxx

xx 3  (Demographic xxxxx of Measurement).docx

xx 3  xxxxxxxxxxxx Between x xxxxxxxx xxx a Continuous Distribution).docx

DQ 3  xxxxx xxxxx xxxx xx xxxxxxxxxx xxxxxxxxxxxxx

xx x xxxxx Level of Data is x xxxxxxxxx Number ).docx

DQ xxx (Characteristics of xxxxxxxx Normal Distribution).docx

DQ 4  (Difference xxxxxxx a Dependent xxx Independent Variable).docx

xx xxx (Explain xxxxx Related xx Hypothesis xxxxxxxxxxxxx

xx x (Does xxx Data have a xxxxx Median, or xxxx xxxxxx

xx 5  (Importance xx xxxxxxxxxx xx Business Decision xxxxxxxxxxxx

DQ 5 (Why is xxx Population Shape a Concern When Estimating a Mean).docx

xx xxx xxxxx xxxx Measurement xxxxxxxxxxxx

Indivdiual Assignment xxxxxxxxxx Problems.docx

Individual xxxxxxxxxx (My xxxxxxxx xxxxxxxxxxxxxxxxx

Individual xxxxxxxxxx xxxxxxxxxxx xxxxxxxxxxxxxxxxx

Individual xxxxxxxxxx xxxxx xxxxxx xxxxxxxxxx

Individual Assignment (Statistics in Business).docx

xxxxxxxxxx xxxxxxxxxx My StatsLab 10-Problems.docx

Individual Assignment Real xxxxxx xxxxxxxxx

xxxxxxxxxx xxxxxxxxxx xxxx xxxxxx xxxxxxxxx

xxxxxxxx Team Assignment xxxxx xxxxxxxxxxxxxxxx

xxxxxxxx xxxx xxxxxxxxxx xxxxxxxxxxxx xxx xxxxxxxxxx xxxxxxxxxx

Learning Team Assignment xxxxxxxxx xxx

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QNT 351 Week 1 to 5, Assignment, DQ's, Mystat Labs, Final Exam

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xxx xxx xxxx 1 to 5

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QNT 351 Week 2 Learning Team Data Collection / 2200 words paper + 9 slides Presentation in APA / A+ work

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xxxx x xxxxxxxx xxxx xxxx xxxxxxxxxx

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Running xxxxx DATA COLLECTION�� PAGE xx MERGEFORMAT xxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxx PAGE xx MERGEFORMAT xxxxxxxxxxxxxxx

Data Collection

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xxxx Collection

xxxxxxx xxxxxxxxxx xxxxxxx xxxxxxxx xxxx xxxxxx xx xxxxxxxxx to xxxxxxx food and hospitality services xx institutions and corporations on x contractual xxxxx (University xx Phoenix, xxxxxxxxx xxxxxxx xxx xxxx xxxxxxx division, Hospitality division, xxx the xxxxxxxx xxxxx maintenance xxxxxxxx xxxxxxxxxxx xx xxxxxxxx 2011). xxxx has been going through some challenges in the past months affecting the operations and xxx xxxxxx xx xxxxx personnel.The xxxxxxxxx xx xxxx x report xxx BIMS senior management about problems they facing, instruments used xxx data xxxxxxxxxxx types xx xxxx xxxxxxxxxx levels of xxxxxxxxxxx of the xxxxxxxxx in the xxxxxx explanation of xxx data was coded, xxxxxxxxx xxxxxx xxxx xxxxxxx xxxxx errors, and last, xxxxxxxxxxx about xxxxxxxxxxxxxxx of data xx meet the xxxxxxx xx xxx

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Data xxxxxxxxxxxxxxxxxxx

xxxxxxx Integrated xxxxxxx Services, xxxx xxxxxx Problems

xxxxxxxxx employee turnover xxxx increased use of xxxx time increased xxxxxx of xxxxxxxxx wasting xxxx throughout x xxxxxxxxxxxxx xxxxxxxx xxxxxxxxxxxxxx complaints decreased xxxxxxxx morale

xxxxxxxxxx for xxxx xxxxxxxxxx

xxxxxxxxxx used for xxxx collection xx survey Survey xxx xxxxx to all xxx xxxxxxxxx except executive xxxxx with their xxxxxxxx xxxxxxx xxxxxxxxxxxx was xxxxxxxxx xxx xxxxxxxxxxxx answer sample was xxxxxxxxx

Survey xxxxxxxxx

how xxxx employees enjoy xxxxxxx in the xxxxxxxxxxx they xxxx xxxxx shift how well are employees trained for work xxx they evaluate their xxx xx xxxxxxxxx are treated well xx supervisors or company xx communicating well or xxxxxxxxx xxxx to lose xxxxx xxxxxxxxx division xxxx work in how long xxxx work in x xxxxxxxxxxxx xx xxxxx gender or xxxx belong xx xxxxxxxxxx xxxxx

Types of Data Collected

xxxx 1, xxxxxxxxx 1-10 answers ranging from 1-5 Numbers xxx only

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QNT 351 Week 1 Individual Assignment Statistics in Business / 367 words + 5 References / A+ work

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xxxx x Individual xxxxxxxxxx Statistics xx xxxxxxxx

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� PAGE xx MERGEFORMAT xxxxxxxxxxxxxxx Head: STATISTICS

Statistics Summary

QNT/351

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Statistics is x xxxxxx of xxxxxxx xxxxxxxxxxxx xxxx type xx mathematical xxxxxxxx xxxxxxxx xxx use of summaries, xxxxxxxxxx xxxxxxxxxxxxxxxx and models xxx xxxx world xxxxxxxxxxxx xxxxxxxx et al., xxxxxx Statistical xxxxxxxx involves xxxx collection, xxxxxxxx xxx then data xxxxxxxxxxxxx into a xxxxxxxxx xxxxx Statistical methods can be xxxx xx summarize x xxxxxxxxxx of xxxx which xx xxxxxx descriptive xxxxxxxxxxx xxxxxxxxxxx xxxxxxxxxx xx a process of describing the xxxxxxxxxx xxxxx on the xxxxxx results. Both methods are xxxxxxxxxx xx applied xxxxxxxxxx xxxxx 2004). Levels of measurement xx statistics xxx xxxxxxxx xxxxxxxx interval and ratio. xx the xxxxxxx xxxxxx xxxx is xxxxxxxxxx xxxx xxxxxxxxx categories and xx deals with xxxxxx categories, xx xxxxxx xxxx xx xxx color and xxxxxxx In xxxxxxx level, data is xxxxxx xxxx as xxxxxxx rank

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