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EC 315 Quantitative Research Methods
Micelli, Heather Ann


Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.

Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.

Course

EC 315 Quantitative Research Methods

Semester

S1T 2011 DLD

Faculty

Micelli, Heather Ann

Title

Adjunct Faculty

Degrees/Certificates

M.A. Economics, University of Oregon
B.S. Business Administration: Finance, University of Oregon

Office Location

TBA

Office Hours

TBA

E-Mail

heather.micelli@park.edu

Semester Dates

January 10, 2011 - March 6, 2011

Class Days

TBA

Class Time

TBA

Prerequisites

MA120 and CS140

Credit Hours

3


Textbook:

textbook cover

 

Basic Statistics for Business and Economics

Douglas A. Lind, Coastal Carolina University
William G Marchal,
University of Toledo---Toledo
Samuel A. Wathen,
Coastal Carolina University 

7th edition, ©2010
ISBN-13 978-0-07-738447-0
Publisher: Richard D. Irwin, Inc. 

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:

McAfee Memorial Library - Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 800-270-4347.
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Online Classroom Technical Support - For technical assistance with the Online classroom, email helpdesk@parkonline.org or call the helpdesk at 866-301-PARK (7275). To see the technical requirements for Online courses, please visit the http://parkonline.org website, and click on the "Technical Requirements" link, and click on "BROWSER Test" to see if your system is ready.
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Course Description:
EC315 Quantitative Research Methods: This intermediate level statistics course covers the fundamentals of conducting quantitative research for the social and administrative sciences. The course is organized around a research project on quantitative analysis of data. Prerequisite: MA120 and CS140. 3:0:3

Educational Philosophy:
The facilitator’s educational philosophy is one of interactiveness based on lectures, readings, quizzes, dialogues, examinations, internet, videos, web sites and writings. The facilitator will engage each learner to encourage the lively exploration of ideas, issues and contradictions.

Learning Outcomes:
  Core Learning Outcomes

  1. Derive an original regression model and run it using Microsoft Excel. Write a paper explaining this model and its outcome.
  2. Given an Excel regression output, correctly interpret the model statistics including the statistical significance of the independent variables and the R-square statistic of the model.
  3. Find the predicted value of the dependent variable given a regression output with independent variable coefficients plus values for the independent variables.
  4. Conduct hypothesis tests and confidence intervals on the mean and the difference between two means using the "t" statistic.
  5. Conduct hypothesis tests and confidence intervals on the binomial statistic and on the difference between two binomial statistics using the "t" statistic.


Core Assessment:

All Park University courses must include a core assessment that measures the course Learning Outcomes. The purpose of this assessment is to determine if expectations have been met concerning mastery of learning outcomes across all instructional modalities. For this course, the core assessment is a final exam to be administered in all sections of EC 315. This exam is worth 30 percent of the student’s final grade and will test students’ mastery of core learning outcomes through short answer questions on specific knowledge, Regression analysis procedure, and hypothesis testing.

Link to Class Rubric

Class Assessment:

The final course grade will be determined using the following measurements:

  • Homework Assignments
  • Mid Term Examination
  • Weekly quizzes
  • Proctored Comprehensive Final Examination
  • Instructor evaluation/class participation which is made up of the following factors:
    1. Posting your introduction to the conference during the first week of the course.
    2. Weekly discussion activities
    3. Having a completed, correct proctor form received and approved by the end of week 4. There will be a link to the proctor form provided in week 2.
    4. Other course related activities.

Grading:

Assessment Week Points Total
Points
Homework
* 20 points per chapter,
some weeks will have more
than 1 chapter

1- 7

20

200
Quizzes
*10 questions per chapter,
some weeks will have 20
questions and some weeks
will have only 10

1- 7

10* 100
Course Participation

all

10 80
Midterm Examination

4

200 200
Term Project Proposal

5

50 50
Term Project Report

8

70 70
Proctored Final Exam

8

300 300
Total   1,000

 

Points Grade
900 - 1000 A
 800 - 899 B
 700 - 799 C
600 - 699 D
<599 F

The course grade for students will be based on the overall average of homework and tests taken during the course in accordance with the weighting of the various requirements as stated in the syllabus.

All final exams in all School of Business courses will be comprehensive and will be closed book and closed notes. They will constitute 30% of the total course grade and will not be a take-home exam. They will be completed during the test week in the period designated by the registrar or by the Proctor in the case online courses. If calculators are allowed, they will not be multifunctional electronic devices that include features such as: phones, cameras, instant messaging, pagers, and so forth. Electronic Computers will not be allowed on final exams unless an exception is made by the Dean of the School of Business.

Late Submission of Course Materials:
The assignment for each week must be completed by the end of that week. Comprehensive solutions will be distributed after the deadline. After a solution is posted under DOCSHARING, the student can no longer submit the assignment. However, late or not, it is important that you complete all assignments since these exercises will help you in the preparation for the examinations.
 
No credit will be given for homework assignments submitted after the solutions have been posted.
 
No credit will be given for the weekly discussion for contributions made after the deadline.

Classroom Rules of Conduct:

Park University wishes to promote a positive, collegial atmosphere among students, faculty , and staff. The students should present his/her answers in a civil manner and respond to others in a civil manner. Disruptive students will not be tolerated and will be dealt with. Disruptive behavior may have sanctions ranging from a private email warning to reporting to the Academic Dean. **Netiquette link is located on the Help and Resources page under course home. It is located, under "New Student Survival Kit",  Netiquette link should now be visible. Please be sure to read through this data.

Course Topic/Dates/Assignments:

WEEK ONE

This week we will be covering:
  • Chapter 3 Describing Data: Numerical Measure

Week 1 Assignment Checklist

  • Post your introduction discussion under the Course Home Link
  • Read through the syllabus
  • Send your instructor an email to verify your pirate email account is working

Now start on Week One work:

  1. Review Chapter 3 from textbook and review the Powerpoint lectures for chapter 3.
  2. Review your tutorial to do statistics in Excel and Megastat.
  3. Participate in Weekly Discussion
  4. Turn in homework assignment for week 1 to the Week 1 Homework Dropbox
  5. Prepare to take a quiz on the concepts of week 1
  6. Start on your Term Paper Topic and Feasibility Study paper due in week 2

 


 

WEEK TWO
This week we will be covering:
  • Chapter 6 Discrete Probability Distributions
  • Chapter 7 Continuous Probability Distributions

Week 2 Assignment Checklist

  1. Read Chapters 6 and 7 from the textbook and review the Powerpoint lectures for each of the chapters. From these readings emphasize chapters 8 and 9.
  2. Review your tutorial to do statistics in EXCEL and Megastat to be able to confidence intervals.
  3. Participate in Weekly Discussion.
  4. Turn in the homework assignment for week 2 to the Week 2 Homework Dropbox.
  5. Prepare to take a quiz on the concepts of week 2.
  6. Project Topic and Feasibility Study is due in Word format in Dropbox labeled Feasibility Study

 

WEEK THREE
This week we will be covering:
  • Chapter 8 Sampling Methods and the Central Limit Theorem
  • Chapter 9 Estimation and Confidence Intervals

Week 3 Assignment Checklist

  1. Read Chapters 8 and 9 from the textbook and review the Powerpoint lectures for each of the chapters. From these readings emphasize chapters 8 and 9.
  2. Participate in Weekly Discussion.
  3. Turn in the homework assignment for week 3 to the Week 3 Homework Dropbox.
  4. Prepare to take a quiz on the concepts of week 3.

 

WEEK FOUR
This week we will be covering:
  • Chapter 10 One-Sample Test of Hypothesis

Week 4 Assignment Checklist

  1. Read Chapters 10 from the textbook and review the Powerpoint lectures for each of the chapters. From these readings emphasize chapters 8 and 9.
  2. Participate in Weekly Discussion.
  3. Turn in the homework assignment for week 4 to the Week 4 Homework Dropbox.
  4. Prepare to take a quiz on the concepts of week 4.
  5. Take the midterm.

 

WEEK FIVE
This week we will be covering:
  • Chapter 13 Linear Regression and Correlation

Week 5 Assignment Checklist

  1. Read Chapter 13 from the textbook and review the Powerpoint lectures for each of the chapters.
  2. Participate in Weekly Discussion.
  3. Turn in the homework assignment for week 5 to the Week 5 Homework Dropbox.
  4. Prepare to take a quiz on the concepts of week 5.
  5. Term Project Report is due

 

WEEK SIX
This week we will be covering:
  • Chapter 12 Analysis of Variance
  • Chapter 14 Multiple Regression and Correlation Analysis

Week 5 Assignment Checklist

  1. Read Chapters 12 and 14 from the textbook and review the Powerpoint lectures for each of the chapters.
  2. Participate in Weekly Discussion.
  3. Turn in the homework assignment for week 6 to the Week 6 Homework Dropbox.
  4. Prepare to take a quiz on the concepts of week 6.

 

WEEK SEVEN
This week we will be covering:
  • Chapter 11 Two-Sample Tests of Hypothesis

Week 7 Assignment Checklist

  1. Read Chapter 11 from the textbook and review the Powerpoint lectures for each of the chapters.
  2. Participate in Weekly Discussion.
  3. Turn in the homework assignment for week 7 to the Week 7 Homework Dropbox.
  4. Prepare to take a quiz on the concepts of week 7.
  5. Term Project Paper is due next week.

 

WEEK EIGHT
This week we will be covering:
  • Review all chapters in preparation for final

Week 8 Assignment Checklist

  1. Upload the Term Project Report
  2. Take part in the weekly discussion
  3. Take a proctored Final Exam

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life. Park University students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty (www.park.edu/current or http://www.park.edu/faculty/).from Park University 2010-2011 Undergraduate Catalog Page 92

Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. from Park University 2010-2011 Undergraduate Catalog Page 92-93

Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.

  1. The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
  2. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  3. In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
  4. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  5. Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
  6. Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.
ONLINE NOTE: An attendance report of "P" (present) will be recorded for students who have logged in to the Online classroom at least once during each week of the term. Recording of attendance is not equivalent to participation. Participation grades will be assigned by each instructor according to the criteria in the Grading Policy section of the syllabus.

Park University 2010-2011 Undergraduate Catalog Page 95-96

Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .

Additional Information:

Student Responsibilities:



       
  • Read all assigned materials.
       
  • Write 1 empirical paper.
       
  • Engage in weekly class discussion. Minimum three postings are required each week.
       
  • Take weekly quizzes.
       
  • Read the Course Home page and Syllabus.
       
  • Read the Instructor Office, Course Schedule, Course Overview, and Course Documents. It is also recommended that you print out this information for your reference.
       
  • Read the Course Announcements each time you log into the course.
       
  • Read your Park email (PirateMail) regularly while you are taking this course.
       
  • Post an introduction about yourself in the Introductions page.
       
  • Read each Weekly Home Page.
       
  • Complete the assigned readings, learning activities, and assessments each week according to the class schedule.
       
  • New students should complete the Course Tour in the Help and Resources page.
       
  • Arrange for a proctor for the final exam according to Park policies.
       
  • Complete a proctored final exam. Students who do not complete the proctored final exam during the last week of class receive an automatic F.
       
  • Comply with all Park University policies and procedures.



Rubric

CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Critical Thinking                                                                                                                                                                                                                                          
Outcomes
Short answer questions with a Maximum value of 166 Points                                                                                                                                                                                                                                                                                                                                                                                                                                                            
Hypothesis tests and confidence intervals nearly perfectly conducted. (149 points or more of 166 points) Most causes or processes of economic phenomena are correctly identified and stated. (115 to148 points of  166 points) Most causes or processes of economic phenomena are not correctly identified and stated. (83 to 114 points  of 166 points) No causes or processes of economic phenomena are stated clearly. (0 to 82 points of  166 points) 
Effective Communication                                                                                                                                                                                                                                    
Outcomes
Short-answer questions on regression procedures and hypothesis testing with a maximum value of 52 points.                                                                                                                                                                                                                                                                                                                                                                                                            
All definitions of curves or items identified on graphs are stated nearly perfectly.  (47  points or more of 52 points) Most definitions of curves or items identified on graphs are stated correctly. (36 to 46 points of 52 points) Most definitions of curves or items identified on graphs are not stated correctly. (26 to 35 points of 52 points) No definitions of curves or items on graphs are stated clearly.



(0 to 25 points of 52 points)



 
Tools and Methods of Economics                                                                                                                                                                                                                             
Outcomes
This examines regression analysis including running and interpreting regressions.  It has a maximum value of 82 points.                                                                                                                                                                                                                                                                                                                                                                                              
All calculations and explanations are nearly perfect.  (75 points or more of 82 points) Most calculations and explanations are correct. (59 to 74 points of 82 points) Most calculations and explanations are not correct. (42 to 58 points of 82 points) None of the calculations and explanations is correct.



(0 to 41 points of 82 points)



 

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Last Updated:12/27/2010 12:13:22 PM