Learning Team A

MBA Program – UOPX

Archive for September 2009

QNT 561 – Week 2 Syllabus

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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.

Written by Daniel

September 24, 2009 at 5:22 pm

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QNT 561 – Week 1 Syllabus

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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.

Written by Daniel

September 18, 2009 at 3:41 am

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QRB 501 – G6 Data

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MEGASTAT CORRELATION MATRIX
G6      
Do the variables significantly effect sales of heart valves? Which ones?
Alpha = .01    
Ho: No Relationship   H1: Relationship
Size= Size of the valvue, 1= small, 2=medium, 3= large, 4=X-large      
Age= Age of patient      
Distance= Distance of patients residence to a fast food restaurant in kilometers.      
Sales= Sales in 1000 dollars      
       
SIZE AGE DISTANCE SALES
1 55 14 8
3 84 9 12
2 75 3 15
4 75 9 6
3 66 6 9
2 59 4 10
1 48 22 7
4 72 3 9
3 61 7 8
2 86 8 7
1 92 2 15
3 80 1 12
2 68 3 10
4 59 6 9
2 45 9 7
1 79 1 14
4 65 4 11
3 48 2 8
4 72 1 13
1 62 5 9

Written by Daniel

September 11, 2009 at 10:29 pm

Posted in Group Assignments

QRB 501 – Week 6 – Team Work Distribution

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Editor – Karen

Construct the research problem, question and purpose. Construct the null and alternative hypothesis. – Shannon

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. – Peggi

Run a Megastat Correlation/Regression, Regression Matrix test. Explain the multiple relationships. – Rupa

Conclude and make recommendations. – Daniel

Written by Daniel

September 11, 2009 at 10:23 pm

QRB 501 – Week 6 Syllabus

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WEEK 6 – TOPIC 1: BUSINESS APPLICATIONS II

Objectives

     

  • Apply basic probability concepts.
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  • Explain the importance of the central limit theorem in sampling.
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  • Convert data to indexes.
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I6 Simple Regression Case Analysis: Riverside Chamber of Commerce

 

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:

   

55

 

21

 

30

 

18

 

23

 

11

 

52

 

36

 

41

 

19

 

25

 

12

 

42

 

7

 

45

 

25

 

25

 

6

 

40

 

21

 

25

 

13

 

25

 

11

 

59

 

34

 

49

 

27

 

33

 

18

 

35

 

20

 

 

 

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.
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  • 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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G6 Correlation Matrix Multiple Regression Analysis.

 

  1.  

       

    1. Group Correlation/Regression, Regression Matrix. Data to be determined in class.
    2.  

       

    3. 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.
    4.  

       

    5. Run a Megastat Correlation/Regression, Regression Matrix test. Explain the multiple relationships. Conclude and make recommendations.
    6.  

Written by Daniel

September 10, 2009 at 8:30 pm

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QRB 501 – Week 5 Syllabus

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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.

 

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G5 WENTWORTH MEDICAL CENTER (ANOVA) 

     
         
  MEDICAL ONE   MEDICAL TWO

FLORIDA

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YORK

CAROLINA

 

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CAROLINA

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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.

Written by Daniel

September 3, 2009 at 9:29 pm

Posted in Syllabus

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