JCU Logo

JOHN CABOT UNIVERSITY

COURSE CODE: "MA 209"
COURSE NAME: "Statistics II"
SEMESTER & YEAR: Summer Session I 2017
SYLLABUS

INSTRUCTOR: Stefano Arnone
EMAIL: [email protected]
HOURS: MTWTH 11:00 AM 12:45 PM
TOTAL NO. OF CONTACT HOURS: 45
CREDITS:
PREREQUISITES: Prerequisites: CS 110, MA 208 with a grade of C- or above
OFFICE HOURS: MTWTH 15:00 to 16:00 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 quantitative information;

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



TEXTBOOK:
Book TitleAuthorPublisherISBN numberLibrary Call NumberComments
Statistics for Business & Economics, Revised 12e Anderson, Sweeney, Williams et al Cengage Learning 9781285846323  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%
Attendance and class participationFull credit for attendance will be given to students with two or fewer unexcused absences. Three or more absences will result in a proportional reduction of the grade.10%
First intermediate exam 20%
Second intermediate exam 20%
Fianl exam (comprehensive) 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:
Full credit for attendance will be given to students with two or fewer unexcused absences. Three 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.

Missed exams may not be made up.
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 1Review of hypothesis testing (chapter 9). Review of statistical inference about means and proportions with two populations (chapter 10). Inferences about population variances (chapter 11). Review of tests of goodness of fit and independence (chapter 12).   
Week 2Experimental design and analysis of variance (chapter 13).   
Week 3Analysis of variance (cont.). Simple linear regression (chapter 14). Multiple regression (chapter 15).  First intermediate exam at the beginning of week 3 (Monday, Jun 5th)
Week 4Multiple linear regression (cont.). Regression analysis and model building (chapter 16).   
Week 5Time series analysis and forecasting (chapter 17). Course review.  Secon intermediate exam at the beginning of week 5 (monday, June 19th)