EC315 Quantitative Research Methods

for F1E 2008

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EC 315 Quantitative Research Methods


F1E 2008 PE


McDonough, Ian K.


Adjunct Faculty


M.S. Economics
B.S. Information Systems, Minor in Economics


Class Days


Class Time

4:45 - 10:10 PM

Credit Hours



Lind, Marchal & Wathen, "Basic Statistics for Business and Economics with Student CD"
, 6th Edition, McGraw-Hill Irwin Publishing.
ISBN ISBN-10: 0077230965
You will also need a calculator. Any inexpensive, scientific calculator will suffice for this class (basically you need to be able to raise a number to a power other than two). 

Textbooks can be purchased through the MBS bookstore

Additional Resources:

 - St. Louis Fed: Economic Data - Economic Time Series Page

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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.

Educational Philosophy:

My aim is to provide students with the ability to analyze relevant data using contemporary computer-based technology and apply the results to make decisions concerning an underlying question or problem. This course will introduce students to statistical concepts and techniques that are used extensively in public and private-sector decision making, including all areas of business. Understanding and using statistics are essential to success in a competitive and uncertain world.

Learning Outcomes:
  Core Learning Outcomes

  1. Derive an original regression model and run it using Excel or SPSS. Correctly interpret the model statistics including the statistical significance of the independent variables, the R-squared and (if applicable) the Durbin-Watson statistics.
  2. Derive the Durbin-Watson statistic in Excel. Determine whether a given regression has autocorrelation using a graph and the Durbin-Watson table values.
  3. Conduct hypothesis tests and confidence intervals on the mean and the difference between two means using the "t" statistic.
  4. 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:

1. Quizzes: There will be six (6) announced quizzes that cover material from the previous lecture and book chapters.
2. Research Project: Students will complete a research project that is in line with the course instruction.
3. Final Exam: The exam will be comprehensive on all material covered in class.
4. Attendance: Attendance is mandatory and will be taken at the end of each class.


Grading Criteria and Weights:
Attendance 5%
Quizzes 35%
Research Project 30% (5% proposal, 25% report and findings)
Final Exam 30%



Note that homework will not be factored into your final grade. The completion of assigned homework problems will not be mandatory, however,  the completion of the homework problems will aid in your performance on the quizzes.
Grading Scale (there will be no curve used in grading):
90% - 100%
80% - <90%
68% - <80%
60% - <68%
Below 60%

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 and Management 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 and Management.

Late Submission of Course Materials:

Research proposals must be turned in by the end of class on week four. Late proposals will only receive half credit. Research projects must be turned in before the Final Exam.

Classroom Rules of Conduct:

Students are expected to attend all classes and be on time.  Attendance will be taken at the end of each class meeting.   Classes missed for legitimate reasons, such as illness, work, family emergencies, are excusable; however, the student must notify the instructor (prior to the class to be missed if possible) and make up the missed work as follows:

        - Read and be responsible for assigned readings and course materials.
        - If a quiz (quizzes) is (are) to be missed, it (they) must be made up the following week. 
        - It is the student's responsibility to contact the instructor and arrange to take the quiz (quizzes).
The Final Exam must be completed before 10:10 pm on October 2, 2008.  If the Final Exam is not taken and the student has not withdrawn, a GRADE of “F” will be given.

Course Topic/Dates/Assignments:


  To be Accomplished



  Lecture: Descriptive Statistics (Chapters 2, 3, 6)



  Quiz 1: On chapters 2, 3, 6 and previous lecture
  Lecture: Continuous Probability Distributions, Sampling Methods and Estimation ( Chapters 7, 8, 9)



  Quiz 2: On chapters 7,8,9 and previous lecture
  Lecture: One-Sample Hypothesis Tests and Chi Square Applications (Chapters 10, 15)



  Quiz 3: On chapters 10, 15 and previous lecture
  Lecture: Two-sample Hypothesis Tests and Analysis of Variance (Chapters 11, 12)
  ** Research Proposals Due **



  Quiz 4: On chapters 11, 12 and previous lecture
  Lecture: Linear Regression and Correlation (Chapter 13)



  Quiz 5: On chapter 13 and previous lecture
  Lecture: Multiple Regression and Correlation (Chapter 14)



  Quiz 6: On chapter 14 and previous lecture
  Final Exam Review



  Turn in Final Projects and take 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 2008-2009 Undergraduate Catalog Page 87

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. Park University 2008-2009 Undergraduate Catalog Page 87

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 2008-2009 Undergraduate Catalog Page 89-90

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: .


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:8/3/2008 10:52:16 PM