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JOHN CABOT UNIVERSITY

COURSE CODE: "MA 209-2"
COURSE NAME: "Statistics II"
SEMESTER & YEAR: Fall 2019
SYLLABUS

INSTRUCTOR: Crina Pungulescu
EMAIL: [email protected]
HOURS: TTH 1:30-2:45 PM
TOTAL NO. OF CONTACT HOURS: 45
CREDITS:
PREREQUISITES: Prerequisites: CS 110, MA 208 with a grade of C- or above
OFFICE HOURS: by appointment

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 adequately communicate the results of empirical analysis. 

 

The topics covered are:

 

Review of hypothesis testing

Inference about means, proportions and variances of two populations

Tests of goodness of fit and independence

Experimental design and analysis of variance

Simple linear regression

Multiple regression

Regression analysis and model building

Time series analysis and forecasting

LEARNING OUTCOMES:

 

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

.      Use advanced hypothesis testing to make statistical inferences about populations

·      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 tools within Microsoft Excel

·      Competently present quantitative information

TEXTBOOK:
Book TitleAuthorPublisherISBN numberLibrary Call NumberComments
Statistics for Business & EconomicsD. Anderson, D. Sweeney, T. Williams, J. Camm, J. CochranSouth-­â€Western, Cengage Learning9781133274537 Other editions of the textbook are also acceptable.
REQUIRED RESERVED READING:
NONE

RECOMMENDED RESERVED READING:
NONE
GRADING POLICY
-ASSESSMENT METHODS:
AssignmentGuidelinesWeight
Homework 10
Exam 1 20
Exam 2 20
Presentation 10
Final ExamSince the final exam is comprehensive, if the final exam grade is higher than the partial exam grade(s), the final exam grade will replace the partial exam grade(s) in the calculation of the final grade for the course.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. The student demonstrates complete, accurate, and critical knowledge of all the topics, and is able to solve problems autonomously.
BThis is highly competent level of performance and directly addresses the question or problem raised. There is a demonstration of some ability to critically evaluate theory and concepts and relate them to practice. The work does not suffer from any major errors or omissions and provides evidence that the student uses clear logic in his/her arguments.
CThis is an acceptable level of performance and provides answers that are clear but limited, reflecting the information offered in the lectures. Mathematical statements are properly written most of the time.
DThis level of performances demonstrates that the student lacks a coherent grasp of the material. Important information is omitted and irrelevant points included. Many mistakes are made in solving the problem raised. 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 subject-matter. Most of the material in the answer is irrelevant.

-ATTENDANCE REQUIREMENTS:
Students are required to attend classes following the University’s policies. 
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

SessionSession FocusReading AssignmentOther AssignmentMeeting Place/Exam Dates
Week 1 and 2Review of Hypothesis Testing and Inference about Means and Proportions with Two Populations (Chapters 9 and 10)   
Week 3 and 4Inferences about Population Variances (Chapter 11) Comparing Multiple Proportions, Test of Independence and Goodness of Fit (Chapter 12)   
Week 4 to 7Experimental Design and Analysis of Variance (Chapter 13) Simple Linear Regression (Chapter 14)   
Week 8 and 9Multiple Regression (Chapter 15)  Exam 1 (date announced on the first day of class)
Week 10 and 11Regression Analysis and Model Building (Chapter 16)   
Week 12 and 13Time Series Analysis and Forecasting (Chapter 17)  Exam 2 (date to be announced on the first day of class)
Week 14Presentations and Review for Final Exam   Presentation (Week 14) Final Exam (Comprehensive): see University schedule for date and time