Math 221: Fall 2007

Top Objectives Weekly Outline Homework Technology Grading

DeVry University
North Brunswick, NJ
Phone: (732) 435-4880 x3916
Fax: (732) 435-4861
E-Mail: dchelst@devry.edu
Course Materials On the Web: www.chelst.com, www.devryu.net

Course Syllabus Math 221: Fall 2007

Course: Basic Statistics
Instructor: Dr. Dov Chelst
Course Number: Math 221
Contact Hrs: 4
Prerequisite: Math 114
Credit Hrs: 4

Office Hours (in Room 916): Monday 12-1 p.m., Wednesday 1-2 p.m.

COURSE SPECIFICS (Very Important!)

Required Text: Elementary Statistics: Picturing the World, Third Edition, Larson & Farber, Prentice-Hall / Pearson, 2005

Suggested Supplement: Data Analysis Using Microsoft Excel: Updated for Office Xp, 3rd ed., Michael Middleton, Duxbury Press, 2003

Reference Books:

Statistics for Managers, Third Edition; Levine, Stephan, Krehbiel and Berenson; Prentice-Hall, 2002
Elementary Statistics, Tenth Edition, Johnson & Kuby, Thomson, 2003

Course Description: This course provides tools used for statistical analysis and decision-making in business. The course includes both descriptive statistics and inferential concepts used to draw conclusions about a population. Research techniques, such as sample design, are included for single samples (and multiple sample groups).

The specific topics to be discussed include frequency distributions, design and interpretation of statistical graphs, probability distributions, measures of central tendency, sampling, variability, confidence intervals, hypothesis testing, and possibly linear regression and correlation.

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Course (Terminal) Objectives: To present a broad overview of the subject so that a student should be able to do the following:

Collect, organize, present and analyze data; calculate all the measures of central tendency and dispersion; apply these concepts in basic research
Understand the Empirical Rule and Chebyshev's Theorem
Understand the concepts of probability, and utilize such well known probability distributions as the Binomial and Normal in the solution of a wide variety of problems taken from the worlds of Industry, Science, and Government
Set up and analyze confidence intervals of means and proportions
Develop hypothesis testing methodology for single populations {, and multiple populations (ANOVA)}, and
Calculate linear {and multiple regressions}. (Time Permitting!)

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Weekly Course Outline:

Week	Sections	Topic
1	1.1-1.3	Introduction, Data Classification and Experimental Design
2	2.1-2.3	Presenting Data, Stem/Leaf, Histograms, Frequency Distribution, Measures of Central Tendency
3	2.4-2.5	Measures of Variation & Measures of Position
4	3.1-3.2	Probability Concepts, Rules & Conditional Probability
5	3.3-3.4	Mutually Exclusive Events, Independent Events, Addition Rule, Counting Techniques.
5	Exam #1	Chapters: Covered Portions of 1, 2, and 3
6	4.1-4.3	Discrete Probability Distributions--Mean & Standard Deviation. Binomial & Poisson Distributions.
7	5.1-5.3	Standard Normal Distributions, Using the Z-table
8	5.3-5.4	Normal Distributions, Sampling Distributions & the Central Limit Theorem (Labor Day)
9	6.1-6.2	Confidence Interval of Means: Large and Small Samples
10	6.3(-6.4)	Confidence Interval Estimates of Proportions (and of Variance - Time Permitting)
10	Exam #2	Chapters: Covered Portions of 4, 5, and 6.
11	7.1-7.2	Hypothesis Testing of Means: Introduction & Large Samples
12	7.3-7.4	Hypothesis Testing of Small Samples & Proportions
13	9.1-10.4	Correlation, Linear Regression, Measures of Regression and Prediction Intervals, etc.
14	8.1-8.3	Hypothesis Testing with Two Samples: Large and Small Samples. Independent or Dependent Samples, Review
15	Exam #3	Chapters: Covered Portions of 7, 8, and 9

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GRADING:

Grade Division		Final Grade Scale
Quizzes & (Graded) Homework	25%	90 to 100	A
Exam #1	25%	80 to 89	B
Exam #2	25%	70 to 79	C
Exam #3	25%	60 to 69	D
Total	100%	0 to 59	F

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HOMEWORK:	Textbook exercises will be assigned at every class meeting. Students are expected to complete all exercises in order to best understand the course material. In addition, there will be homework assignment requiring the use of Microsoft Excel that will be collected and graded. These assignments will be due one week after they are assigned. No late homework will be accepted.
QUIZZES:	Quizzes will be administered on a weekly basis. Quiz problems will closely resemble homework problems. A few quizzes may test the material that one must learn before studying the course material. This includes: basic arithmetic, fractions, percentages and calculator exercises. At the instructor's discretion, students may be asked to retake these quizzes until they demonstrate a sufficient "comfort level" with these basic operations. The lowest quiz grade will be dropped. No make-up quizzes will be given for any reason.
EXAMS:	Examinations will be announced ONE WEEK in advance. Make-up exams will not be allowed unless the instructor is notified in advance and a valid written excuse is provided. Any indication that a student did not act swiftly to explain a missed exam, will disqualify him/her from receiving a make-up.
TECHNOLOGY:	Each student is expected to bring their own scientific calculator with basic statistical functions to each class. Each student will be required to access the internet to use both the course's eCollege website and to read and send e-mail. Each student will need to be able to use Microsoft Excel.
ACADEMIC INTEGRITY	Students are expected to behave in a manner that maintains the honesty and integrity of the classroom. Consequently, students should not attempt to gain an advantage by lying to the instructor. Students must refrain from all attempts to benefit unfairly from another student's work. While students are encouraged to discuss homework problems and course material together, they must share only ideas. The following examples illustrate what constitutes academic dishonesty: Involvement in fabricating an excuse to obtain a new or late exam. Buying another student's assignment and handing it in as your own work. (Both students are considered responsible) Using another student's computer file to hand in as your own work, EVEN IF IT IS PERSONALIZED AFTER IT IS ORIGINALLY COPIED. Copying the answers to any problem from another student on an exam or quiz. "Cooperating" in the solution of an assignment that results in two or more students generating multiple copies of (essentially) a single document attributed to the entire "team." There will be NO FURTHER WARNINGS regarding this issue. Students who do not follow these guidelines may incur a severe penalty that may include: no credit on a particular assignment, failing the course, and dismissal from DeVry (at the discretion of the appropriate deans). While the reasons for this policy appear obvious, I would be happy to discuss/clarify this issue with any concerned student BEFORE an actual problem arises.
SCHOOL POLICIES: All school policies will be followed in the class.
Attendance will be taken during each class period. School attendance policy will be followed. Students are responsible for all work missed due to absences and tardiness. No food or beverages are allowed in the classroom. Beepers and cellular phones must be turned off during class. Students are expected to be in class on time. Also, students are not expected to leave in the middle of class unless they have given the instructor notice at the beginning of class. Students who wish to be disruptive will be asked to leave and counted absent.

Keys To Success

Attend class regularly
Work diligently on each assignment. This will allow you to recognize what topics you have already mastered, and which ones still require more practice.
Seek help from your instructor at the FIRST sign of trouble.
If you have problems with homework assignments send an email message to me (dchelst@nj.devry.edu) briefly describing the problem and I will respond with hints about the assignments. I read my email several times a day.
Make Friends!!! - This cannot be overstated.