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JOHN CABOT UNIVERSITY
COURSE CODE: "MA 209"
COURSE NAME: "Statistics II"
SEMESTER & YEAR:
Summer Session I 2024
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SYLLABUS
INSTRUCTOR:
Ranjan Rohatgi
EMAIL: [email protected]
HOURS:
MTWTH 9:00 AM 10:50 AM
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:
by appointment
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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.
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SUMMARY OF COURSE CONTENT:
The topics covered are:
Review of hypothesis testing,
Inference about 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
Time series analysis and forecasting
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LEARNING OUTCOMES:
Upon successful completion of the course, a student will be able to:
1. use hypothesis testing to make statistical inferences about populations,
2. use the multiple regression model to look for relationships between variables,
3. use basic time series techniques to make forecasts,
4. present quantitative information clearly in writing,
5. competently use statistical software such as Microsoft Excel
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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 though (some of) the problems will be different. Ebook and hard copy are both acceptable. Access card/code not required. | | | |
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REQUIRED RESERVED READING:
RECOMMENDED RESERVED READING:
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GRADING POLICY
-ASSESSMENT METHODS:
| Assignment | Guidelines | Weight |
| Attendance and Participation | Full attendance credit will be given to students two or fewer unexcused absences. | 10 |
| Homework | | 10 |
| Research Paper | | 10 |
| Exam 1 | | 20 |
| Exam 2 | | 20 |
| Final Exam | The final exam is comprehensive. If the final exam grade is higher than any or both of the previous exam grade(s), the final exam grade will replace the previous exam grade(s) in the calculation of the final grade for the course. | 30 |
-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:
ATTENDANCE REQUIREMENTS AND EXAMINATION POLICY
You cannot make-up a major exam (midterm or final) 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 final exam period runs until ____________
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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.
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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.
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SCHEDULE
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| Session | Session Focus | Reading Assignment | Other Assignment | Meeting Place/Exam Dates |
| Week 1 | Review of hypothesis testing (Ch. 9) and inferences about means and proportions with two populations (Ch. 10). Inferences about population variances (Ch. 11). Comparing multiple proportions, tests of independence, and goodness of fit (Ch. 12). | | Homework 1 due Monday May 27 | |
| Week 2 | Experimental design and analysis of variance (Ch. 13) | | | Exam 1 (Ch. 9-12), Wednesday May 29 |
| Week 3 | Analysis of variance, continued (Ch. 13). Simple linear regression (Ch. 14). Multiple linear regression (Ch. 15). | | Homework 2 due Monday June 10 | |
| Week 4 | Multiple linear regression, continued (Ch. 15). Regression analysis and model building (Ch. 16). | | | Exam 2 (Ch. 13-15), Thursday June 13 |
| Week 5 | Time series analysis and forecasting (Ch. 17) | | Paper due Monday June 17 | |
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