

JOHN CABOT UNIVERSITY
COURSE CODE: "MA 2082"
COURSE NAME: "Statistics I"
SEMESTER & YEAR:
Fall 2023

SYLLABUS
INSTRUCTOR:
Marco Forti
EMAIL: [email protected]
HOURS:
TTH 6:00 PM 7:15 PM
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:
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.

TEXTBOOK:
Book Title  Author  Publisher  ISBN number  Library Call Number  Comments  Format  Local Bookstore  Online Purchase 
Statistics for Business &Economics, Revised 13edition  Anderson,Sweeney,Williams et al  CengageLearning  9781337094160   Other editions of thetextbook are alsoacceptable.    

REQUIRED RESERVED READING:
RECOMMENDED RESERVED READING:

GRADING POLICY
ASSESSMENT METHODS:
Assignment  Guidelines  Weight 
  
Homework  Homework assignments will be posted on Moodle; one week later solutions to homework problems will beuploaded. Students are encouraged to solve homework problems even though they are not graded.  Not graded 
First intermediate exam  This grade could be substituted by the final exam grade if higher (see attendance requirements for details). Theinstructor reserves the right to ask students for clarification on any exercise on the exam to judge if the workthey submitted is actually theirs.  25% 
Second intermediate exam  This grade could be substituted by the final exam grade if higher (see attendance requirements for details). Theinstructor reserves the right to ask students for clarification on any exercise on the exam to judge if the workthey submitted is actually theirs.  25% 
Final exam (comprehensive)  The final exam concerns all the topics covered in the course. Details will be given in class as the final examnears.  35% 
Attendance and class participation  At the beginning of each class, starting from week two, review questions will be posed, and students will becalled upon at random to formulate their answers. In assessing student responses, the level of difficulty of the question posed will be taken into account. The average class participation grade will count 15 percent of thefinal grade.  15% 
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 studentâ€™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:
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.


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 Date

Session Focus

Other Assignment

Exam Date

Week 1 and week 2

Chapter 1: Data and Statistics. Chapter 2: Descriptive statistics: tabular and graphical presentation. Chapter 3: Descriptive statistics: numerical measures.

Students may use the exercises at the end of each section of the textbook for extra practice, as needed. Depending on the edition, there might also be supplementary exercises at the end of each chapter.


Week 3 to week 5

Chapter 4: Introduction to Probability (sections 4.1 to 4.4)

See above.


Week 5 to week 7

Chapter 5: Discrete probability distributions: (sections 5.1 to 5.5). Chapter 6: Continuous probability distributions (sections 6.1 to 6.3)

See above.

Week 7: first intermediate exam (chapters 1 to 4)

Week 8 to week 10

Chapter 7: Sampling and Sampling Distributions (sections 7.1 to 7.7). Chapter 8: Interval Estimation. Chapter 9: Hypothesis Tests (sections 9.1 to 9.5)

See above.


Week 11 and week 12

Chapter 10: Statistical inference about means and proportions with two populations. Chapter 11: Inference about populations variances (section 11.1)

See above.

Week 11: second intermediate exam (chapters 5 to 8)

Week 12 and week 13

Chapter 12: Tests of goodness of fit and independence (sections 12.1 and 12.2)

See above.


Week 13 and week 14

Chapter 14: Simple Linear Regression (sections 14.1 to 14.4)

See above.


Week 14

Course review


Final Exam COMPREHENSIVE. See University Schedule for date and time.


