Course Syllabus

JOHN CABOT UNIVERSITY

COURSE CODE: "MA 209-2"
COURSE NAME: "Statistics II"
SEMESTER & YEAR: Fall 2024

SYLLABUS

INSTRUCTOR: Stefano Arnone
EMAIL: [email protected]
HOURS: MW 6:00 PM 7:15 PM
TOTAL NO. OF CONTACT HOURS: 45
CREDITS:
PREREQUISITES: Prerequisites: MA 208 with a grade of C- or above; Co-requisite: CS 110 OR CS 160
OFFICE HOURS: MW 7:30 to 8:00 pm 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:

In this course, we begin with a thorough review of hypothesis testing, ensuring a solid understanding of the foundational concepts and techniques used to make statistical decisions. We then delve into statistical inferences concerning means, proportions, and variances of two populations, equipping students with the tools to compare and contrast different data sets effectively.

The course also covers tests of goodness of fit and independence, which are essential for evaluating how well theoretical distributions match observed data and for assessing the independence of categorical variables.

We explore analysis of variance (ANOVA) and experimental design, providing students with the skills to design experiments and analyze the resulting data to identify significant factors and interactions.

Simple linear regression is introduced to model relationships between two variables, followed by multiple regression techniques to handle more complex scenarios involving several predictors. Students will learn about regression analysis and model building, emphasizing the creation of accurate and predictive models.

Finally, the course addresses basic time series analysis and forecasting, preparing students to analyze data that are collected over time and to make informed predictions about future trends.

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 Title	Author	Publisher	ISBN number	Library Call Number	Comments	Format	Local Bookstore	Online Purchase
Statistics for Business &Economics, Revised 13e	Anderson, Sweeney, Williams et al	Cengage Learning	978-1337094160		Other editions of the textbook are also acceptable.	Hard Copy		https://www.amazon.it/

REQUIRED RESERVED READING:

NONE

RECOMMENDED RESERVED READING:

NONE

GRADING POLICY
-ASSESSMENT METHODS:

Assignment	Guidelines	Weight
Homework	Homework assignments will be posted on Moodle; one week later, solutions will be uploaded. Students are encouraged to solve homework problems even though they will not be graded.	NOT GRADED
Attendance and class participation	Attending class on a regular basis and participating to the discussion will be key factors in determining your attendance and participation grade.	10%
First intermediate exam	The instructor reserves the right to ask students for clarification on any exercise on the exam to judge if the work they submitted is actually theirs.	25%
Second intermediate exam	The instructor reserves the right to ask students for clarification on any exercise on the exam to judge if the work they submitted is actually theirs.	25%
Final 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 their 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 they 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 expected to come to class on a regular basis and to sit exams in the classroom. 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

Session	Session Focus	Meeting Place/Exam Dates
Week 1 and 2	Review of hypothesis testing: statistical inferences about means and proportions with one and two populations (chapter 9 and 11)
Week 3 and 4	Inferences about population variances (chapter 11); Review of tests of goodness of fit and independence (chapter 12)
Week 4 to 8	Analysis of variance and experimental design (chapter 13); Simple linear regression (chapter 14)	First intermediate exam on Week 7
Week 9 to 11	Multiple regression (chapter 15)
Week 11 to 12	Regression analysis and model building (chapter 16).	Second intermediate exam on Week 12
Week 12 to 13	Forecasting (chapter 17)
Week 14	Course review.	Final exam (comprehensive) : see University schedule for date and time.