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JOHN CABOT UNIVERSITY

COURSE CODE: "MA 209-1"
COURSE NAME: "Statistics II"
SEMESTER & YEAR: Fall 2019
SYLLABUS

INSTRUCTOR: Stefano Arnone
EMAIL: [email protected]
HOURS: TTH 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: TTh 2:15 to 3:00 pm and 6:00 to 6:30 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:

Review of hypothesis testing.
Statistical Inferences of means, proportions, and variances of two populations.
Tests of goodness of fit and independence.
Analysis of variance and experimental design.
Simple linear regression.
Multiple regression.
Regression analysis and model building.
Basic time series analysis and forecasting.

LEARNING OUTCOMES:

Upon successful completion of this course students will be able to show:

i. a basic understanding of the theoretical framework for statistical inference;

ii. an ability to undertake basic quantitative investigation and demonstrate application of the material covered in the course;

iii. professionalism in presentation of quantiative information;

iv. competency in using statistical software such as Microsoft Excel.

TEXTBOOK:
Book TitleAuthorPublisherISBN numberLibrary Call NumberComments
Statistics for Business & Economics, Revised 12eAnderson, Sweeney, Williams et alCengage Learning9781285846323 Past editions of the textbook are also acceptable though (some of) the problems will be different from those from the current edition.
REQUIRED RESERVED READING:
NONE

RECOMMENDED RESERVED READING:
NONE
GRADING POLICY
-ASSESSMENT METHODS:
AssignmentGuidelinesWeight
HomeworkHomework assignments will be graded: the average grade weighs 10 percent of the final grade.10%
AttendanceFull credit for attendance will be given to students with three or fewer unexcused absences. Four or more absences will result in a proportional reduction of the grade.10%
First intermediate exam 20%
Second intermediate exam 20%
Final exam (comprehensive) 40%

-ASSESSMENT CRITERIA:
A Work 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.
B This 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.
C This 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.
D This 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.
F This work fails to show any knowledge or understanding of the subject-matter. Most of the material in the answer is irrelevant.

-ATTENDANCE REQUIREMENTS:
Full credit for attendance will be given to students with three or fewer unexcused absences. Four or more absences will result in a proportional reduction of the grade. Coming late to class or leaving early will be possible only with permission of the instructor.

Major exams cannot be made up without the permission of the Dean’s Office. The Dean’s Office will grant such permission only when the absence was caused by a serious impediment, such as a documented illness, hospitalization or death in the immediate family (in which you must attend the funeral) or other situations of similar gravity. Absences due to other meaningful conflicts, such as job interviews, family celebrations, travel difficulties, student misunderstandings or personal convenience, will not be excused. Students who will be absent from a major exam must notify the Dean’s Office prior to that exam. Absences from class due to the observance of a religious holiday will normally be excused. Individual students who will have to miss class to observe a religious holiday should notify the instructor by the end of the Add/Drop period to make prior arrangements for making up any work that will be missed. 
The Instructor reserves the right to choose days and times for make-up exams that best fit his schedule, after consulting the student(s) involved.
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: statistical inferences about means and proportions with one and two populations (chapter 9 and 11)   
Week 3 and 4Inferences about population variances (chapter 11); Review of tests of goodness of fit and independence (chapter 12)   
Week 4 to 7Analysis of variance and experimental design (chapter 13); Simple linear regression (chapter 14)  First intermediate exam on Week 7
Week 8 to 9Multiple regression (chapter 15)   
Week 10 to 11Regression analysis and model building (chapter 16).  Second intermediate exam on Week 11
Week 12 to 13Forecasting (chapter 17)   
Week 14Course review.  Final exam (comprehensive) : see University schedule for date and time.