EC315 Quantitative Research Methods

for F1J 2011

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EC 315 Quantitative Research Methods


F1J 2011 PV


Wiemann, Michael R.


Adjunct Faculty- Mathematics & Computer Science


BS- Actuarial Science & Mathematics - University of Central Missouri
MS- Applied Mathematics - University of Central Missouri

Office Location

Classroom of Instruction

Office Hours

By Appointment

Daytime Phone



Semester Dates

8/15/2011 - 10/9/2011

Class Days


Class Time

5:30 - 9:50 PM

Credit Hours


Basic Statistics for Business and Economics
Author: Lind, Douglas A. / Marchal, William G. / Wathen, Samuel Adam
ISBN: 978-0-07-738447-0    Edition: 7TH 11
Publisher: Richard D. Irwin, Inc.

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:
You will need a scientific calculator for this class.

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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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 purpose of this course is to provide students with the quantitative skills that are necessary for doing apppied work.   In order to accomplish that goal, the teacher must facilitate learning and the student must learn the required materials.  This requires feedback from the student to the teacher.  This feedback occurs in written work and classroom discussion.  

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:
Two Exams - 30%
Term Paper - 15%
Attendance- 10%
Quizzes- 15%
Final Exam - 30%

All course material (i.e. Quizzes, notes, etc.) will be provided via the online portal at


Grades for the course will use the weighted percentages to calculate the final grade as stated in the syllabus. The final percentage in the class will be used to administer your final grade:

            89.5% - 100.0%          A          79.5% - 89.4%           B          69.5% - 79.4%            C

59.5% - 69.4%            D          0.0% - 59.4%              F

Extra credit, if offered, will be at the discretion of Mr. Wiemann.

All work must be shown to earn full credit on problems worked!

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:
Mr. Wiemann does NOT accept late quizzes and will not accept a late term paper/project.
Mr. Wiemann does NOT allow makeup exams. It is the student’s responsibility to take the exam on or before the scheduled date. If the score on your final exam is greater than the score earned on one of your class exams, I will replace your lowest exam score (not including quizzes) with the score earned on the final exam. For this reason, it becomes an integral part of the student’s responsibility to be there on an exam day.

Classroom Rules of Conduct:

Please refer to the Student Handbook for current policy for academic honesty. An incident of cheating consists, but not limited to, copying someone else’s work and accepting it as your own work. AT NO POINT IN THIS COURSE IS IT ACCEPTABLE TO SUBMIT SOMEONE ELSE’S WORK AS YOUR OWN. You are more than welcome to converse about how to solve a problem; however, you must submit your own work as the final submission of the assignment.

Course Topic/Dates/Assignments:
All dates listed here are subject to change:

Please note that class will NOT be held on Monday, August 15th due to an external commitment that your instructor must attend. Chapter 1 and 2 material should be review from previous coursework, however, we will go over any material from Week 1 during the Week 2 session or you are welcome to e-mail me at

Week Number


Concepts Covered

Components Due
All Quizzes Due @ at 11:59 PM CDT/CST of date listed below



Class Cancelled
Chapter 1- What is Statistics?
Chapter 2- Describing Data




Chapter 3- Describing Data: Numerical Measures
Chapter 4- Describing Data: Displaying and Exploring Data
Chapter 5- A Survey of Probability Concepts

Quiz 1 Due (8/25)



Exam One- Chapter 1 - 2
Chapter 6- Discrete Probability Distributions
Chapter 7- Continuous Probability Distributions
Chapter 8 – Central Limit Theorem

Exam One- Chapter 1 - 2
Quiz 2 Due (9/1)



Chapter 9- Estimation and Confidence Intervals
Chapter 10 & 11 – Hypothesis Testing

Quiz 3 Due (9/8)



Exam Two- Chapters 3 – 8
Chapter 12 – ANOVA
Chapter 13 – Linear Regression
Term Project Topic Due

Exam Two- Chapters 3 – 8
Quiz 4 Due (9/15)
Term Paper Topic Due (9/15)



Chapter 14 & 15 – Multiple Regression and Chi-Square Applications

Quiz 5 Due (9/22)



Term Project Paper Submissions
Review for the Final Exam

Term Project Paper Due (9/29)



Final Exam- Comprehensive: 5:30 PM to 7:30 PM CT

Final Exam- Comprehensive

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 ( or Park University 2010-2011 Undergraduate Catalog Page 92

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.

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: .

Additional Information:


CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Critical Thinking                                                                                                                                                                                                                                          
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                                                                                                                                                                                                                                    
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                                                                                                                                                                                                                             
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:6/17/2011 9:15:16 AM