EC315 Quantitative Research Methods

for S2M 2013

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Vision Statement: Park University, a pioneering institution of higher learning since 1875, will provide leadership in quality, innovative education for a diversity of learners who will excel in their professional and personal service to the global community.


EC 315 Quantitative Research Methods


S2M 2013 CH


Sowder, Scott


Senior Instructor / Adjunct Faculty


MS Human Resource Management
MS Business Administration

Office Location

Assigned Classroom

Office Hours

15 min prior to class start

Daytime Phone


Other Phone

447-2435 (H)  252-671-5632 (C)


Semester Dates

Mar 18 - May 12, 2013

Class Days

T - Th

Class Time

7:30 - 10:00


MA120 & CS140

Credit Hours



Lind, D.A.; Marchal, W.G.; Wathen, S.A. (2011).  Basic Statistics for Business & Economics (8th. ed). New York:Irwin.  ISBN-10: 0073521477; ISBN-13: 978-0073521473

Additional Resources:

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Course Description:
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 active participation between the facilitator and the students based on readings, lectures, discussions, and examinations.  The facilitator will encourage each student to express their ideas and demonstrate their knowledge and understanding of the subject matter.

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:


Final numerical rating will be the calculated based on the following point totals for each activity:

HOMEWORK (5)         150 points (30 pts each)
EXAM 1                   150 points
EXAM 2                   150 points
TERM PAPER             250 Points
FINAL EXAM             300 points
Each student will be graded on academic achievement and letter grades assigned based on the following scale:
A         900 – 1000          90-100%
B         800 – 899            80-89%
C         700 – 799            70- 79%
D         600 – 699           60- 69%
F         599 or lower        59% or lower


In addition to reading text materials prior to discussion in meetings and adequate attendance, requirements for successfully completing the course are as follows: 

  • HOMEWORK:  Five (5) homework assignments will be given at the intervals indicated in the course schedule
  • EXAMS:  Three (3) examinations will be given at the intervals indicated in the course schedule.  Exams 1 & 2 will cover the chapters indicated in the course schedule.  The final examination will be given during the 8th week.
  • TERM PAPER: The term paper will be a minimum of 4 pages, but not to exceed 8 pages of written text.  Papers will be double-spaced with 1-inch margins, and will be in the form of a formal report.  The paper will be an analysis of a multiple regression model that will utilize data supplied by the instructor.  Further information will be provided throughout the term.
    The paper must include a cover sheet, which will not count toward the total page count.  Term papers are due during the 7th week, and may be submitted early.  No late submission of papers will be allowed.  Failure to submit papers on time will receive a grade of zero (0).  All papers must be submitted via the Dropbox on the coure home page. Email may be used to submit papers if there are problems with the Dropbox feature.  Papers should be saved in Word 2003 or .RTF format prior to submission.
** NOTE:  Students should be prepared to cover the first four chapters during week one.  Students are expected to read and be familiar with these chapters prior to the first night of class.  Homework for these chapters will be assigned the first week.**


MS Excel will be used for the Term Paper data outputs and may be used for homework assignments.  It is recommended that students have a laptop computer with Excel 2003, 2007 or 2010 installed, and be using Windows for their Operating System.  Apple has issues with this add-in, and arrangements should be made by the student to have access to a Windows system with one of the Excel versions listed above installed.

To install the add-in prior to class, use the appopriate link:

Excel 2007:

Excel 2010:

For earlier versions of Excel, please see the instructor. 

Students will be reminded to bring their laptops in to class at specified dates to learn the add-in features and operation.  It is also recommended that students bring a surge protector.


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:
Late submission of course material will be handled on a case-by-case basis.  However, the student must make every effort to inform the instructor so arrangements can be made for late submission of any assignment.  Late submission of material that has instructor approval will not receive a penalty. Late submission of material that does not have instructor approval will be turned in no later than the next class session.  Non-approved late submissions received by the next class session will be reduced by one letter grade.  All others will not be accepted. Examinations may be made up provided the student has made arrangements with the instructor.  If no arrangements have been made, a grade of zero (0) will be assessed.

Classroom Rules of Conduct:
Professional conduct is expected by all students at all times, as well as tolerance and acceptance of other ideas and beliefs. A credible level of effort appropriate to the course material is expected.  Although this will vary from student to student due to work or personal events, it is the responsibility of the student to be adequately prepared for all class sessions.  Students are expected to communicate with the instructor regarding absences, perceived deficiencies in coursework performance, etc. Park University policies regarding academic honesty/plagiarism will be strictly enforced.  Any indication of cheating or plagiarism on tests, examinations, papers, or other course assignments will not be tolerated.  Plagiarism is the appropriation or imitation of the language or ideas of another person and presenting them as their own work, and sometimes occurs through carelessness or ignorance.  Students who are uncertain about proper documentation of sources should consult the instructor. Absences:  The instructor may excuse absences for valid reasons, but missed work must be made up within the term of enrollment.  What determines an excused absence other than TAD or medical reason is up to the instructor's discretion.  THREE unexcused absences will result in a grade of "F."  This is the official Park University policy.  Please note that for an absence to be an officially excused absence (1) the instructor must agree and (2) the student must provide documentation.

Course Topic/Dates/Assignments:

1 1 - 4 HW 1 (Ch 1-4)
2 5 & 6
3 7 & 8 HW 2 (Ch 5-7); EXAM 1 (Ch 1-4)
4 9 & 10 HW 3 (Ch 8-9)
5 11 & 12 HW4 (Ch 10-12)
6 13 & 14 EXAM 2 (Ch 5-12)
7 15 HW 5 (Ch 13-15); TERM PAPER DUE

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 2012-2013 Undergraduate Catalog Page 97

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 2012-2013 Undergraduate Catalog Page 95

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 2012-2013 Undergraduate Catalog Page 98

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:2/11/2013 7:11:18 AM