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JOHN CABOT UNIVERSITY
COURSE CODE: "MA 208-3"
COURSE NAME: "Statistics I"
SEMESTER & YEAR:
Fall 2016
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SYLLABUS
INSTRUCTOR:
Virginia Silvestri
EMAIL: [email protected]
HOURS:
MW 10:00 AM 11:15 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:
by appointment
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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.
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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 and hypothesis testing.
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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.
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TEXTBOOK:
| Book Title | Author | Publisher | ISBN number | Library Call Number | Comments | Format | Local Bookstore | Online Purchase |
| Statistics for Business and Economics | Anderson/Sweeney/Williams/Freeman/Shoesmith | CENGAGE Learning | 9781408088395 | | Past editions of the textbook are also acceptable though (some of) the problems will be different from those from the current edition. | | | |
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REQUIRED RESERVED READING:
RECOMMENDED RESERVED READING:
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GRADING POLICY
-ASSESSMENT METHODS:
| Assignment | Guidelines | Weight |
| Attendance | Full credit for attendance will be given to students with three or fewer unexcused absences. Four or more absences will result in a proportional reduction of the grade. | 10% |
| Homework | Homework assignments will be graded: the average grade weighs 10 percent of the final grade. | 10% |
| First Midterm Exam | 1hr exam held during class period | 20% |
| Second Midterm Exam | 1hr exam held during class period | 20% |
| Final Exam | Comprehensive in-class exam | 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. 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
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.
IMPORTANT: The exact date and time of the final exam will be determined by the university administration during the semester. Do not make travel plans that may conflict with the final exam week as they cannot be accommodated.
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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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Week
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Topic
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Reading
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1
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Introduction to Data and Statistics; Descriptive Statistics
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Chap. 1, 2
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2
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Descriptive Statistics (continued)
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Chap. 2
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3
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Descriptive Statistics-Numerical Measures
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Chap. 3
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4
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Probability
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Chap. 4
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5
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Probability cont.
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Chap. 4
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6
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Discrete Probability Distributions
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Chap. 5
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7
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Continuous Probability Distributions
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Chap. 6
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8
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Sampling and Sampling Distributions
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Chap. 7
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9
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Interval Estimation
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Chap. 8
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10
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Hypothesis Testing
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Chap. 9
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11
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Hypothesis Testing (Cont)
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Chap. 9
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12
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Statistical Inference
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Chap. 10, 11
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13
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Statistical Inference (Cont)
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Chap. 10, 11
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14
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Tests of Goodness of Fit and Independence
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Chap. 12
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