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EC 315 Quantitative Research Methods
Kamery, Rob H.


Mission Statement: Park University provides access to a quality higher education experience that prepares a diverse community of learners to think critically, communicate effectively, demonstrate a global perspective and engage in lifelong learning and service to others.

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.

Course

EC 315 Quantitative Research Methods

Semester

S2Y 2013 MN

Faculty

Kamery, Rob H.

Title

Adjunct Faculty

Degrees/Certificates

MBA, Business Administration, MS, Industrial Relations, BBA, Marketing

Office Location

Hallway outside of classroom 110, bldg S241

Office Hours

Fridays 15 minutes before or after class, or by appointment

Daytime Phone

901-454-1932

Other Phone

901-326-8797

E-Mail

rob.kamery@park.edu

Semester Dates

March 18-May 12, 2013

Class Days

-----F-

Class Time

5:00 - 10:00 PM

Prerequisites

MA120 and CS140

Credit Hours

3


Textbook:

Textbook:
Basic Statistics for Business and Economics, Lind, Marachal and Wathen, McGraw-Hill, Irwin 8th edition

ISBN-13: 978-0073521473

Additional Resources:

The Wall Street Journal
Basic Calculator

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 instructor's philosophy is based on constructivist view of mathematics learning. Students construct their own schema. Instructor provides guidance like lectures, HW assignment and tutoring but learning task is placed entirely on student's shoulders. Full use of technology is one of the ways instructor guides students.

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:

1 midterm, 1 final, Homework, project. Midterm, final, and Homework consist of question and mostly problems at the level of and suggested/based by textbook .

Grading:

Homework 20%
Midterm 30%
Final Exam 30%
Project 20%
Total 100%

 


Homework 200-Questions will be in statistical problem-solving form or essay form.
Midterm 300-Questions will be in statistical problem-solving form or essay form
Final Exam 300-Questions will be in statistical problem-solving form or essay form.
Project 200-Each student will be required to perform a class project/term paper which will consist of placing a data set into excel format, performing a multiple regression with a least two independent variables, analyzing the results, and repoorting the conclusions reached from the data analysis.
Total 1000

 

 

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.

Grading:

Grading:

1 midterm, 1 final, Homework, project. Midterm, final, and Homework consist of question and mostly problems at the level of and suggested/based by textbook .

Grading:

Homework 20%
Midterm 30%
Final Exam 30%
Project 20%
Total 100%

Homework 200
Midterm 300
Final Exam 300
Project 200
Total 1000
90-100=A
80-89.99=B
70-79.99=C
60-69.99=D
59.99 & below=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.

Classroom Rules of Conduct:
University student conduct policy applies.  Any policies of NSA Activity also applies.

Course Topic/Dates/Assignments:

Week 1: Intro to stats-March 22, 2013
Week 2: Chapters 8 & 9-March 29, 2013
Week 3: Chapters 10-April 5, 2013
Week 4: Chapters 11-April 12, 2013
Week 5: Chapter 12, Midterm and Midterm review-April 19, 2013
Week 6: Chapters 13, 14-April 26, 2013
Week 7: Chapter 14 and term paper/project due-May 3, 2013
Week 8: Final exam and review-May 10, 2013

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 2012-2013 Undergraduate Catalog Page 97

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 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: 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:2/10/2013 1:55:08 PM