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JOHN CABOT UNIVERSITY
COURSE CODE: "MA 208"
COURSE NAME: "Statistics I"
SEMESTER & YEAR:
Summer Session I 2015
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SYLLABUS
INSTRUCTOR:
Mark Ludorf
EMAIL: [email protected]
HOURS:
MTWTH 11:00 AM 12:45 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 10:30 to 11:00; and 13:00 to 13:30 and 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:
After a brief introduction to the subject, both graphical and numerical techniques for representing data sets will be analyzed; probability theory will be then discussed using both discrete and continuous probability distributions. We will then move to analyzing 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, and an introduction to correlation and simple linear regression.
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LEARNING OUTCOMES:
Upon successful completion of this course students will be able to:
- Use statistical core terminology accurately.
- Organize data using both numerical and graphical methods.
- Use measures of central tendency and variability to summarize 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.
- Compute correlation coefficients and simple linear regression statistics.
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TEXTBOOK:
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REQUIRED RESERVED READING:
RECOMMENDED RESERVED READING:
| Book Title | Author | Publisher | ISBN number | Library Call Number | Comments |
| Numbers: A Primer of Data Analysis | Wike, Edward L. | Bell and Howell | NA | | A copy of the text will be provided to each student by the instructor. Please email at [email protected] before May 3, 2015 if you would prefer a hard copy of the textbook instead of an electronic (pdf) copy. |
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GRADING POLICY
-ASSESSMENT METHODS:
| Assignment | Guidelines | Weight |
| Weekly Examinations | Each week there will be a quiz covering one or more chapters. The quizzes will be problem based and similar to the content covered in the course. Students are encouraged to solve the problems in the back of the textbook as doing so will provide a strong foundation for doing well on the examination. | 100/100 |
-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. 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 th
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. Discussions reflect the student’s own arguments and are not simply a repetition of standard lecture and reference 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
Attendance is strongly encouraged. Examinations will only be administered the day they are scheduled. THERE WILL BE NO MAKE UP OR EARLY EXAMINATIONS. If you miss an exam you can just substitute the FINAL for the missed exam. Coming late to class or leaving early will be possible only with permission of the instructor. The Final Examination may not be made up, however, see the university policy on making up major examinations (the final is the only one in this course considered “major”). The final exam period will be scheduled per the university calendar.
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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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Dates and Topics
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May 25 – 28
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Chapters 1, 2, 3, and 4
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June 1
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Exam 1 (Chapters 1 – 4)
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June 2
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Festa della Republica –
No Class (Make up June 12)
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June 3
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Chapter 5
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June 4
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No Class
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June 8
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Chapter 5
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June 9
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Exam 2 (Chapter 5)
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June 10 – 12
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Chapter 6 and Chapter 7
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June 15
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Exam 3 (Chapters 6 and 7)
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June 16 – 18
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Chapters 8
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June 22
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Exam 4 (Chapter 8)
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June 23 – 24
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Chapter 9 (and Chi-square)
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June 25
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Exam 5 (Chapter 9 and Chi-square)
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June 26
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Final Exam
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