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EC 315 Quantitative Research Methods
Fricke, Klaus K.


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

S1DD 2010 DC

Faculty

Fricke, Klaus K.

Title

Adjunct Faculty

Degrees/Certificates

Associate in Engineering
Bachelor of Science in Business Administration
M.B.A.

Daytime Phone

614-891-6184

E-Mail

klaus.fricke@park.edu

frickek@sbcglobal.net

Semester Dates

January 11 -- March7, 2010

Class Days

--Tuesday---

Class Time

5:00 - 10:45 PM

Prerequisites

MA 120, CS 140

Credit Hours

3


Textbook:

Basic Statistics for Business and Economics, 6th Edition (2008), Lind, Marchal, & Wathen, McGraw-Hill
Study Guide for use with Basic Statistics for Business & Economics (Optional)

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:
A TI-83, TI-83 Plus, or TI-84 Calculator is required for this course.

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.
Career Counseling - The Career Development Center (CDC) provides services for all stages of career development.  The mission of the CDC is to provide the career planning tools to ensure a lifetime of career success.
Park Helpdesk - If you have forgotten your OPEN ID or Password, or need assistance with your PirateMail account, please email helpdesk@park.edu or call 800-927-3024
Resources for Current Students - A great place to look for all kinds of information http://www.park.edu/Current/.


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 instructor's educational philosophy is one of interactiveness based on lectures, in-class exercises and discussions, readings, homework assignments, exams, and a class project to engage each student in the exploration of ideas and concepts.

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 measures:
 
                                                Total Points        % Weight
Test 1                                           20                     20%
Test 2                                           20                     20%
Comprehensive Final Exam           30                     30%
Homework                                   30                     30%
Total                                          100                    100%
 
 

Grading:

A            90-100
B            80-89
C            70-79
D            60-69
F            Less than 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 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:
Homework submitted late will be penalized 10%  for each week that it is late.

Classroom Rules of Conduct:
Students are expected to take an active role in classroom exercises and discussions, to include helping classmates in completing class exercises.

Course Topic/Dates/Assignments:

Date                      Material to be Covered                                                           Homework
  
Week 1                  Descriptive Statistics  (Chapters 1, 3, 4)                                      
 01/12
 
Week 2                  Discrete and Continuous Probability Distributions;                        Select Proposal Data
 01/19                     Confidence Intervals (Chapters 6, 7, 9)                                        Descriptive Statistics
 
Week 3                  Hypothesis Testing; Analysis of Variance
 01/26                   (Chapters 10, 11, 12) Test 1 Review                                            Homework # 1 
 
Week 4                   Linear Regression and Correlation                                               Finalize Project Proposal
 02/02                   (Chapter 13) Test 1 (Chapters 1, 3, 4, 7, 9)                                 Hypothesis Testing  
 
Week 5                  Multiple Regression Analysis                                                         Linear Regression; Homework #2 
 02/09                   (Chapter 14) Test 2 Review
 
Week 6                  Interpreting Regression Analyses                                                    Multiple Regression 
 02/16                     Test 2 (Chapters 10, 11, 12, 13, 14                                              Review Project Drafts
 
Week 7                  Class Project Review    
02/23                     Final Exam Review                                                                        Homework 3
 
Week 8                  Comprehensive Final Exam   
03/02                                             

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:
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 2009-2010 Undergraduate Catalog Page 92

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 2009-2010 Undergraduate Catalog Page 95

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 .



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:12/15/2009 2:12:11 PM