Archive for September 2009
QNT 561 – Week 2 Syllabus
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.
QNT 561 – Week 1 Syllabus
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.
QRB 501 – G6 Data
| 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 |
QRB 501 – Week 6 – Team Work Distribution
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
QRB 501 – Week 6 Syllabus
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.
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:
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55
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21
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30
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18
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23
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11
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52
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36
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41
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19
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25
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12
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42
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7
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45
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25
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25
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6
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40
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21
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25
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13
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25
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11
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59
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34
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49
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27
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33
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18
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35
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20
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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.
G6 Correlation Matrix Multiple Regression Analysis.
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- Group Correlation/Regression, Regression Matrix. Data to be determined in class.
- 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.
- Run a Megastat Correlation/Regression, Regression Matrix test. Explain the multiple relationships. Conclude and make recommendations.
QRB 501 – Week 5 Syllabus
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.
- 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)
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FLORIDA |
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FLORIDA |
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YORK |
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.
- 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.