Learning Team A

Increasing Revenue

• 1.1 Choose methods to increase revenue in an organization.

   

  ·         1.2 Explain market equilibrating process.

   

   

   

  Course Assignments

   

   

   

  1.       Readings

   

   

   

  ·         Read Ch. 1–3 & 6 of Economics.

   

   

   

  2.       Individual Assignment: MBA Exam Questions

   

   

   

  ·         Resources: MBA Web Prep link on the student Web site

   

  ·         Complete Ch. 1 & 2 Lecture Exam Questions at the MBA Web Prep for Economics site.

   

  ·         Submit the results to your faculty member.

   

   

   

  3.       Individual Assignment: Market Equilibrating Process Paper

   

   

   

  ·         Write a 350- to 500-word paper in which you relate the concepts in this week’s readings to a prior real world experience. The experience does not necessarily have to be work experience.

   

  ·         Discuss the market equilibrating process in relation to your experience.

   

  ·         Format your paper according to APA standards

   

   

   

   

   

   

   

   

   

   

   

Individual Assignment: Market Equilibrating Process Paper

Write a 350- to 500- word paper in which you relate the concepts in this week’s readings to a prior real world experience. The experience does not necessarily have to be work experience.

Discuss the market equilibrating process in relation to your experience.

Format your paper according to APA guidelines.

Individual Assignment: Exam Questions

Please see your instructor’s syllabus for this week’s assignments

Complete Chapters 1 & 2 Lecture Exam Questions at the MBA Web Prep for Economics site.

Submit the results to your faculty member.

Week 6 Assignments

Final Project

For Workshop Six, each Learning Team (or directed study student) will prepare a 2,100-2,800-word final paper and Microsoftâ PowerPointâ Presentation that demonstrates understanding of the use of statistical methods in the business decision-making process.

The topic of the paper should be representative of the business-related problems that typically require the use of sampled data and appropriate test statistics to aid in the decision making process. The problem may be related to any business area of interest to the team; however, the team should not choose a topic, which cannot be completed within the six-week time span of this course. The topic does not have to be complex, but it must be quantitative, original and include:

1. Title Page.
2. Statement of the Problem. Identify, define, and describe an organizational or business-related problem that can be analyzed using statistical methods. The problem statement must express a loss of profit, market share, customers, quality or increased costs.
3. The Research Question. One sentence question addressing the issues, variables and the problem.
4. Purpose of the Study. Why is this study being conducted? Who is requesting it?
5. Background. Review of related literature. Provide background information and prior research on the nature of the problem.
6. Variable Definitions. Define the variables quantitative or qualitative (dependent and independent), which are of interest in the situation chosen for the paper.
7. Level of Measurement. Define the level of measurement applied to the variables (quantitative/qualitative, discrete/continuous nominal, ordinal, interval, or ratio).
8. Hypothesis. Define the null and alternative hypotheses.
9. Alpha Level of Significance. Determine the alpha level and explain why.

10.  Research Design. Describe the plan of the research.  This can be individual respondents to a questionnaire, quasi-experimental, or recorded observations.  In addition, describe the sampling method chosen to collect the data for analysis.

11. Data Collection. Describe the procedures used to collect data.  For example, if the number of patient days is the dependent variable, explain how patient days are calculated. The data must be primary data, in other words the data must be observed and recorded by the researcher. Secondary, pre-existing data gathered and recorded by sources other than the researcher is unacceptable for this research project.

12. Limitations. State the limitations of the study. (Sample size, location, time, weather, number of observers, etc.)

13. Statistical Methods. Descriptive Statistics. Discuss the methods (tests) used to analyze the variables and test the null hypothesis.  Include a brief discussion of why the specific methods were chosen, and define any assumptions.

14. Results and Recommendations. Summarize the results of testing the null hypothesis, and clearly state whether or not the null hypothesis was rejected or why you failed to reject it (retain) and the p-value. Determine the conclusions that were derived from this study. Make any recommendations or observations you feel are appropriate based on the results obtained. One possible outcome may be that it is inconclusive. This is an acceptable outcome for this project. However, should that be the case, the team should suggest potential future research efforts that might provide more definitive results.

15.  References. List all references for the study.

Presentation:

Create a 10-15 slide Microsoft PowerPoint presentation that gives an overview of the team project to include all of the fifteen items above. Dress for success.

Week 4 Assignments

• Perform Two Way Analysis of Variance With Out Replication..
• Construct effective questionnaires and surveys.

 I4 Individual Assignment Grape Fields Two Factor Anova With Out Replication: The following three grape fields were analyzed for pest treatment as measured by grape tonnage.

A                     B                     C

            TREATMENT 1         70                    90                    120

            TREATMENT 2         110                  120                  140

            TREATMENT 3         130                  110                  80

1. Construct the research problem, question and purpose. Construct the null and alternative hypothesis. Use an alpha level of significance of .05.
2. Do NOT do Descriptive Statistics. Megastat will not do this on a small data set. Run a MegaStat Analysis of Variance, Randomized Blocks Anova, this is an Anova without replication. Explain the possible differences. Conclude and make recommendations.

G4 Learning Team Assignment: Develop a new research problem, question and purpose. Design a 10 question survey to address the research question.

Apply concepts of probability to business decisions. Conduct one-sample and paired sample tests of hypothesis.

Individual Assignment

 Hypothesis Test – Compare two independent groups – Select Z Test

 Dan’s Sport and Grill – Sports Bar scenario

 Sales of bottles of beer

Data to be provided by the instructor.

Construct the research problem, question and purpose. Construct the null and alternative hypothesis. Use an alpha level of significance of .05.

Do Descriptive Statistics on this data and describe the data in a write-up. Run Mega Stat

G3 Learning Team T-Test Paired Observations Furniture Store:

A Sacramento furniture store designed an incentive plan for their sales force. The following data lists weekly income before and after the plan. Is the plan effective?

1. Construct the research problem, question and purpose. Construct the null and alternative hypothesis. Use an alpha level of significance of .05.
2. Do Descriptive Statistics on this data and describe the data in a write-up. Run Mega Stat Hypothesis Test: Paired observations. Explain the possible differences. Conclude and make recommendations.

Salesperson                  Before              After

A                                 320                 340

B                                 290                 285

C                                 421                 475

D                                 510                 510

E                                 402                 500

F                                  625                 631

G                                 360                 365

H                                 505                 619

Research and Sampling Designs

• Formulate effective research questions.
• Construct a research design for given research questions.
• Apply the central limit theorem to sample means.
• Construct confidence intervals for a mean.

Assignments

I2 Individual Assignment – Construct a research problem, question and purpose. Construct the null and alternative hypothesis. Select an alpha level of significance.

Identify a sample design to use for collecting the data.

G2 Learning Team: Problem Sets – Descriptive Statistics and Probability Distributions Z-Scores problems developed in class.

Week 1 Assignments

Descriptive Statistics and Probability Distributions

• Compute descriptive statistics for given data sets.

Apply probability concepts related to discrete and continuous probability distributions.

Install the Microsoft^® Excel Add-in MegaStat^® to help in your statistical calculations for this course. The MegaStat^® Web link is located on your rEsource page. Click the link and follow the directions for installation.

Assignments

I1 Individual Assignment – Obtain sample data (n<=50) from your work, the text or the internet. Explain what the data measures and run Megastats Descriptive Statistics. Do an in-depth descriptive statistics write-up of this data. Explain all items checked and offer insights as to possible meanings.

G1 Learning Team – Develop several research problems & questions for the final research paper and presentation. The instructor must approve the proposal.

Form Learning Teams. These teams will work together throughout the course.

Learning Team - Review the objectives from Week One, and discuss additional insights and questions that may have arisen.

Learning Team - Learning Teams prepare the Learning Team Log before the next class meeting.

WEEK 6 – TOPIC 1: BUSINESS APPLICATIONS II

Objectives

 

• Apply basic probability concepts.

 

 

• Explain the importance of the central limit theorem in sampling.

 

 

• Convert data to indexes.

 

ABC Corporation of California publishes a variety of statistics, including the number of individuals who got a new job during the past 12 months and the mean length of time the individuals have been on the job. A local Chamber of Commerce for the City of Riverside has commissioned a study on the status of employment in the Riverside area. A sample of 16 employed residents of Riverside included data on the age and the number of weeks on a job. A portion of the data collected is shown as follows:

Address the following:

 

• Construct the research problem, question, purpose, null and alternative hypothesis. Do Descriptive statistics and graph the data for each group. Do a write-up of the descriptive stats. Conduct a Regression Analysis. Use a .01 level of significance.

 

 

• Is there a correlation/association/relationship between the age of a newly employed individual and the number of weeks of employment? Analyze the r value and the r ² value. What is your conclusion? Explain.

 

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   1. Group Correlation/Regression, Regression Matrix. Data to be determined in class.

    

    

   2. Construct the research problem, question and purpose. Construct the null and alternative hypothesis. Do Descriptive statistics and graph the data for each group. Do a write-up of the descriptive stats. Use an alpha level of significance of .05.

    

    

   3. Run a Megastat Correlation/Regression, Regression Matrix test. Explain the multiple relationships. Conclude and make recommendations.

    

I5 Caffeine and Finger Tapping One Way ANOVA

An investigation was conducted into the effect of the stimulant caffeine on the performance of a simple task. Thirty two male students were trained on finger tapping and divided into four random groups of eight. The groups were given different doses of caffeine and 2 hours after treatment each student was required to carry out finger tapping. The number of taps per minute was recorded. Does finger tapping change with the intake of caffeine? Alpha= .05.

1. Construct the research problem, question, purpose, null and alternative hypothesis. Do Descriptive statistics and graph the data. Do a write-up of the descriptive stats. Conduct an Analysis of Variance One-Factor Anova test. If the result is “reject” analyze the p-values of the Tukey post hoc analysis. Explain the differences: (0-100, 0-200, 0-300, 100-200, 100-300, 200-300). Conclude and make recommendations. Don’t forget references.

G5 WENTWORTH MEDICAL CENTER (ANOVA) 

As part of a long-term study of individuals 65 years of age or older, sociologists and physicians at the Wentworth Medical Center in upstate New York conducted a study to investigate the relationship between geographic location and depression.

A random sample of 60 individuals, all in good health, was selected. (Listed as Medical One): 20 from Florida, 20 from New York, 20 from North Carolina.

A secondary part of the study-tested individuals 65 years or older that had chronic health conditions such as arthritis, hypertension or heart ailment. (Listed as Medical Two). Each of the individuals sampled was given a standardized test to measure depression. High-test scores indicate higher levels of depression. Healthy or sick does it matter what state you live in? Alpha= .05.

1. Construct the research problem, question, purpose, null and alternative hypothesis. Do Descriptive statistics and graph the data for each group. Do a write-up of the descriptive stats. Conduct an Analysis of Variance One-Factor Anova test for each group. If the result is “reject” analyze the p-values of the Tukey post hoc analysis. Explain the differences. Conclude and make recommendations. Don’t forget references.