Mathematics 100 is a terminal course! It is not prerequisite to any other Mathematics course. If you are planning on taking more Mathematics or Statistics, for example if a Mat/Stat course is required by your major you should drop this class. You are in the wrong class if you are planning to take more Mathematics and registered for math 100 to brush up on Mathematics. You should be taking Mathematics 101 (MATHEMATICS 101 DOES NOT SATISFY THE GRADUATION REQUIREMENT!). Speak to an advisor or the Mathematics 100 coordinator if you have any questions.

Syllabus for Math 100

Course Information contains information on GRADING, CREDIT/NO-CREDIT, WU, INCOMPLETES, ETC.

SUGGESTED Homework sets. Dates and problems will be adjusted for your class.

click here before taking practice exams.

Practice test I

Practice test II

Practice test III

PH Grade Assist came with your textbook. There are practice questions for each section. Follow the instructions in the "Getting Started" book. The class ID is math100. The instructor is Prof. Bendersky, TheURL is phga.pearsoncmg.com/phga/classes/math100.

There is a web page for the text: Link to Goldstein Click the "jump to" button. You will find multiple choice Quizzes with answers.

Online tutorials by Stefan Waner
Sample Space and Events
Estimated Probability
Empirical Probability
Abstract Probability
Conditional Probability
Bayes' Theorem

News articles

1- Article on conspiracy theories

2- Chart showing how cancer compares with other causes of death at various ages (NY times July 2, 2002). It is correct to say that 1 in 8 women will bevelop breast cancer in her lifetime? How does this compare with the chart? What kind of probabilities are these numbers?

3- Table of number of people waiting for transplants and number who died waiting. Interpret these numbers in terms of conditional probabilities.

4- Article on effect of Cancer Support groups on survival from NY Times 12/13/2001. Interpret these numbers.

5- Article questioning effect of Mammography on survival from NY Times 12/9/2001. How do you react to these numbers?

6- From a review of "The Colossal Book of Mathematics" by Martin Gardner If you have trouble following this try drawing a tree diagram or
click here

7- Article on overall risk of catastrophic failure of Shuttle; New York Times 12/4/1993
Question: What is the probability of at least one failure in 50 flights? in 100 flights?

8- Article on risk of breast cancer in L.I. women. New York Times, April 13, 1994
Some questions related to this article

9- Article on gene linked to Colon Cancer, NY times Dec. 3, 1993
Some questions related to this article

10- New York Times, 9/6/2000 article on Firestone tires
Some natural questions: Identify the data in terms of conditional probability
Can one calculate the probability of a fatal accident?

11- Article on Tamoxifen and endometrial cancers, NY times 9/8/00.
Can one deduce the probability that a women who had breast cancer and takes tamoxifen developes endometrial cancer?

12- Article from NY Times, 9/27/2000 From an article on Income and Poverty. The NY Times understands the difference between the median and average.

13- Article on Nuclear Wepons
What "calculation" did the the officials at the Strategic Air Command make that led them to target one facility with 69 nuclear missiles?

14-Graph from Feb. 20, 2001
A graph of "Dangerous drivers and the age spectrum" It may be instructive to interpert this as a Histogram.

15- Article on Raloxifene and Breast Cancer from Feb. 26 issue of Breast Cancer Research and Treatment
What type of probability are these numbers? Could one compute the probability a woman with osteoporosis from the general population will contract Breast Cancer?

16- Some census data from March 6 2001 NY Times
Explain these numbers in terms of probabilities.

An article from the April 28 edition of the NY times on Bayes' theorem and life. Interesting examples of applications of Bayes theorem as well as the controversy about its use.
17-Adding art to the Rigor of Statistical Science

18- An article from the June 8, 2004 edition of the NY times on the "Fat Epidemic". An example of how statistics can present data in two ways which seem to contradict each other.

19-A study reported in the NY times "Aspirin is seen as preventing breast tumors"
I marked the data with ******. About half the women in the study had breast cancer. Can you determine the probability a woman in the study has breast cancer if she takes aspirin? If she does not take aspirin?

20- NY times 12/12/2009
Application of Bayes' theorem to the mammogram controversy. The argument is exactly the same as the one for TB testing covered in class.