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JOHN CABOT UNIVERSITY

COURSE CODE: "MA 208"
COURSE NAME: "Statistics I"
SEMESTER & YEAR: Summer Session I 2017
SYLLABUS

INSTRUCTOR: Stefano Arnone
EMAIL: [email protected]
HOURS: MTWTH 2:00 - 3:45 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: MTWTH 16:00 to 17:00 by appointment

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:
After a brief introduction to the subject, both graphical and numerical techniques for representing data sets will be analysed; probability theory will be then discussed using both discrete and continuous probability distributions. We wil then move to analysing sampling distributions, point estimators and confidence intervals.

We will also discuss hypothesis tests covering tests of the mean, proportion, and variance as well as differences between these parameters, Chi-squared goodness of fit tests, and an introduction to simple linear regression.
LEARNING OUTCOMES:
Upon successful completion of this course the 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 NumberComments
Statistics for Business & Economics, Revised 12e Anderson, Sweeney, Williams et alCengage 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.10/100
AttendanceFull 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.10/100
First intermediate exam 20/100
Second intermediate exam 20/100
Final exam (comprehensive) 40/100

-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 1Chapter 1: Data and Statistics. Chapter 2: Descriptive statistics: tabular and graphical displays. Chapter 3: Descriptive statistics: numerical measures. Chapter 2: 2,3,9,11,14,15,21,25,26. Chapter 3: 7,11,13,14,15,19,27,28,31,45,50,51. 
Week 2Chapter 4: Introduction to Probability (sections 4.1 to 4.4). Chapter 5: Discrete probability distributions (sections 5.1, 5.2, 5.3, 5.5).  Chapter 4: 14,16,31,39,40. Chapter 5: 6,7,11,13,15,27,33,35,65. 
Week 3Chapter 6: Continuous probability distributions (sections 6.1, 6.2). Chapter 7: Sampling and Sampling Distributions (sections 7.1 to 7.7).  Chapter 6: 1,2,5,11,12,13,14,27,32,33. Chapter 7: 15,25,29.Week 3: first intermediate exam (chapters 1 to 5)
Week 4Chapter 8: Interval Estimation. Chapter 9: Hypothesis Tests (sections 9.1 to 9.5). Chapter 8: 3,9,19,21,36,41,51,55. Chapter 9: 9,11,12,13,14,17,19,25,31,39,41,66,69. Week 4: second exam (chapters 6,7,8,9)
Week 5Chapter 10: Statistical inference about means and proportions with two populations. Chapter 12: Tests of goodness of fit and independence (sections 12.1 and 12.2). Chapter 14: Simple Linear Regression (sections 14.1 to 14.4). Chapter 10: 3,7,11,15,19,25,31,35. Chapter 11: 3,11. Chapter 12: 2,5,7,8,15,17,31. Chapter 14: 3,15,17,21.June 23rd: final exam (comprehensive)