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JOHN CABOT UNIVERSITY

COURSE CODE: "MA 209-1"
COURSE NAME: "Statistics II"
SEMESTER & YEAR: Fall 2018
SYLLABUS

INSTRUCTOR: Adrian Stoian
EMAIL: [email protected]
HOURS: MW 3:00-4:15 PM
TOTAL NO. OF CONTACT HOURS: 45
CREDITS:
PREREQUISITES: Prerequisites: CS 110, MA 208 with a grade of C- or above
OFFICE HOURS:

COURSE DESCRIPTION:
A continuation of Statistics I. Topics include more advanced hypothesis testing, regression analysis, analysis of variance, non-parametric tests, time series analysis and decision- making techniques.
SUMMARY OF COURSE CONTENT:

This syllabus is a draft. The final syllabus will be distributed the first day of class.

This is the second Statistics course in a two course sequence, that equips students with the basic statistical tools to analyze data, construct and test models for business decisions, conduct economic research, use statistical software and communicate the results.  The class will cover various topics related with regression analysis, economic indicators, surveys and experiments.

A particular emphasis in class will be on thinking about the data that is needed to address relevant questions, the challenges in conducting empirical analysis and the potential solutions. 


LEARNING OUTCOMES:

Upon successful completion of the course a student will be able to:

·      Use the multiple regression model to study the relationships between variables.

·      Understand estimation issues and their implications.

·      Analyze economic data.

·      Make effective use of statistical software.

·      Select appropriate data and communicate the results of the empirical analysis.


TEXTBOOK:
Book TitleAuthorPublisherISBN numberLibrary Call NumberComments
Statistics for Business & EconomicsAnderson, Sweeney, Wlliams, Freeman, ShoesmithCengage Learning9781473726567  
REQUIRED RESERVED READING:
NONE

RECOMMENDED RESERVED READING:
NONE
GRADING POLICY
-ASSESSMENT METHODS:
AssignmentGuidelinesWeight
Midterm 30
Homeworks 20
Presentation 10
Final Exam 40

-ASSESSMENT CRITERIA:
AWork of this quality directly addresses the question or problem raised and provides a coherent argument displaying an extensive knowledge of relevant information or content. This type of work demonstrates the ability to critically evaluate concepts and theory and has an element of novelty and originality. There is clear evidence of a significant amount of reading beyond that required for the course.
BThis is highly competent level of performance and directly addresses the question or problem raised.There is a demonstration of some ability to critically evaluatetheory and concepts and relate them to practice. Discussions reflect the student’s own arguments and are not simply a repetition of standard lecture andreference material. The work does not suffer from any major errors or omissions and provides evidence of reading beyond the required assignments.
CThis is an acceptable level of performance and provides answers that are clear but limited, reflecting the information offered in the lectures and reference readings.
DThis level of performances demonstrates that the student lacks a coherent grasp of the material.Important information is omitted and irrelevant points included.In effect, the student has barely done enough to persuade the instructor that s/he should not fail.
FThis work fails to show any knowledge or understanding of the issues raised in the question. Most of the material in the answer is irrelevant.

-ATTENDANCE REQUIREMENTS:

ACADEMIC HONESTY
As stated in the university catalog, any student who commits an act of academic dishonesty will receive a failing grade on the work in which the dishonesty occurred. In addition, acts of academic dishonesty, irrespective of the weight of the assignment, may result in the student receiving a failing grade in the course. Instances of academic dishonesty will be reported to the Dean of Academic Affairs. A student who is reported twice for academic dishonesty is subject to summary dismissal from the University. In such a case, the Academic Council will then make a recommendation to the President, who will make the final decision.
STUDENTS WITH LEARNING OR OTHER DISABILITIES
John Cabot University does not discriminate on the basis of disability or handicap. Students with approved accommodations must inform their professors at the beginning of the term. Please see the website for the complete policy.

SCHEDULE

Introduction and Review of Statistics - weeks 1, 2
Simple regression - weeks 2-4
Multiple regression - weeks 4, 5
Review and Midterm - week 6
Model building - weeks 7-9
Time series analysis - weeks 9-11
Non parametric methods - week 12
Presentations - week 13, 14
Review for final exam - week 14