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JOHN CABOT UNIVERSITY

COURSE CODE: "MA 208-3"
COURSE NAME: "Statistics I"
SEMESTER & YEAR: Fall 2015
SYLLABUS

INSTRUCTOR: Jeff Link
EMAIL: [email protected]
HOURS: TTH 10:00AM-11:15AM
TOTAL NO. OF CONTACT HOURS: 45
CREDITS:
PREREQUISITES: Prerequisite: Placement into MA 197 or completion of MA 100 or MA 101 with a grade of C- or above
OFFICE HOURS:

COURSE DESCRIPTION:
An introduction to descriptive statistics, elementary probability theory and inferential statistics. Included are: mean, median, mode and standard deviation; probability distributions, binomial probabilities and the normal distribution; problems of estimation; hypothesis testing, and an introduction to simple linear regression.
SUMMARY OF COURSE CONTENT:

An introduction to descriptive statistics, elementary probability theory and inferential statistics. Included are: mean, median, mode and standard deviation; probability distributions, binomial probabilities and the normal distribution; problems of estimation; hypothesis testing, and an introduction to simple linear regression.

LEARNING OUTCOMES:

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

- Use statistical core terminology accurately.

- Organise data using both numerical and graphical methods.

- Use measures of central tendency and variability to summarise a data set.

- Calculate probabilities of events explained by the normal and the standard normal distribution using the appropriate tables.

- Estimate population parameters using confidence intervals.

- Carry out tests of hypothesis about population parameters.

TEXTBOOK:
Book TitleAuthorPublisherISBN numberLibrary Call NumberCommentsFormatLocal BookstoreOnline Purchase
Statistics for Business and Economics 3rd EMEA editionAnderson/Sweeney/Williams/Freeman/ShoesmithCENGAGE LearningISBN-13: 9781408072233     
REQUIRED RESERVED READING:
NONE

RECOMMENDED RESERVED READING:
NONE
GRADING POLICY
-ASSESSMENT METHODS:
AssignmentGuidelinesWeight
TBDTBDTBD
Attendance and ParticipationConsistent class attendance and participation are critical to learning the course material. Students should come to class having read the assignments and contribute regularly to class discussion in a constructive, intelligent and proactive way In-class exercises will also count toward this assessment component.10%
Homework AssignmentsWeekly assignments.15%
Intermediate Exam I 20%
Intermediate Exam II 20%
Final ExamComprehensive35%

-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 cours
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 December 11, 2015.
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

Week

Dates
(Subject to Change)

Topic

Reading

Assignment
(Subject to Change)

1

Sept. 1, 3

Introduction to Data and Statistics; Descriptive Statistics

Chapters 1, 2

Homework

2

Sept. 8, 9

Descriptive Statistics (continued)

Chapter 3

Homework

3

Sept. 15, 17

Introduction to Probability

Chapter 4

Homework

4

Sept. 22, 24

Probability (continued)

Chapter 4

Homework

5

Sept. 29,

Oct. 1

Discrete Probability Distributions

Chapter 5

Homework

6

October 6, 8

Continuous Probability Distributions

Chapter 6

Intermediate Exam 1

7

Oct. 13, 15

Sampling and Sampling Distributions

Chap. 7

Homework

8

Oct. 20, 22

Interval Estimation

Chap. 8

Homework

9

Oct. 27, 29

Hypothesis Testing

Chap. 9

Homework

10

Nov. 3, 5

Statistical Inference

Chap. 10

Homework

11

Nov. 10, 12

Statistical Inference (continued)

Chap. 11

Intermediate Exam 2

12

Nov. 17, 19

Tests of Goodness of Fit and Independence

Chap. 12

Homework

13

Nov. 24   

(No Class Nov. 26)

Simple Linear Regression

Chap. 14

 

14

December 1, 3

Course Review

 

 

15

*TBD

Final Exam – Week of Dec. 5-11

 

Final Exam