Probably Not (eBook)

Lawrence N. Dworsky, PhD, is a former corporate research lab director at Motorola, Inc., where he was also a member of the Science Advisory Board. He has also served as a consultant to the Defense Advanced Research Projects Agency (DARPA), Littelfuse Corp., and HRL Laboratories, LLC. A Fellow of the Institute of Electrical and Electronic Engineers, Dr. Dworsky has held academic positions at Columbia University, Northern Illinois University, and Florida Atlantic University.

Introduction.

1. An Introduction to Probability.

Predicting The Future.

Rule Making.

Random Events and Probability.

The Lottery {Very Improbable Events and Large Data Sets}.

Coin Flipping {Fair Games, Looking Backwards For Insight}.

The Coin Flip Strategy That Can't Lose.

The Prize Behind The Door {Looking Backwards For Insight,
Again}.

The Checker Board {Dealing With Only Part Of The Data Set}.

2. Probability Distribution Functions And Some Basics.

The Probability Distribution Function.

Averages And Weighted Averages.

Expected Values.

The Basic Coin Flip Game.

The Standard Deviation.

The Cumulative Distribution Function.

The Confidence Interval.

Final Points.

3. Building a Bell.

4. Random Walks.

The One Dimensional Random Walk.

What Probability Really Means.

Diffusion.

5. Life Insurance and Social Security.

Insurance as Gambling.

Life Tables.

Birth Rates and Population Stability.

Life Tables, Again.

Premiums.

Social Security - Sooner Or Later?.

6. Binomial Probabilities.

The Binomial Probability Formula.

Permutations And Combinations.

Large Number Approximations.

The Poisson Distribution.

Disease Clusters.

Clusters.

7. Pseudorandom Numbers and Monte Carlo Simulations.

Pseudorandom Numbers.

The Middle Square PSNG.

The Linear Congruential PSNG.

A Normal Distribution Generator.

An Arbitrary Distribution Generator.

Monte Carlo Simulations.

A League Of Our Own.

8. Some Gambling Games In Detail.

The Basic Coin Flip Game.

The Gantt Chart.

The Ultimate "Winning Strategy".

The Game Show.

Parimutuel Betting.

9. Traffic Lights And Traffic.

Outsmarting A Traffic Light?.

Many Lights And Many Cars.

Simulating Traffic Flow - The Simulation.

Simulation Results.

10. Combined And Conditional Probabilities.

Functional Notation.

Conditional Probability.

Medical Test Results.

The Shared Birthday Problem.

11. Scheduling And Waiting.

Scheduling Appointments In The Doctor's Office.

Lunch With A Friend.

Waiting For A Bus.

12. Stock Market Portfolios.

13. Benford, Parrondo and Simpson.

Benford's Law.

Parrondo's Paradox.

Simpson's Paradox.

14. Networks, Infectious Disease Propagation and Chain
Letters.

Degrees Of Separation.

Propagation Along Networks.

Some Other Uses Of Networks.

Neighborhood Chains.

15. Bird Counting.

A Walk In The Woods.

A Model Of Bird Flying Habits.

Spotting A Bird.

Putting It All Together.

16. Statistical Mechanics And Heat.

Statistical Mechanics.

Thermodynamics.

17. Introduction To Statistical Analysis.

Sampling.

Sample Distributions and Standard Deviations.

Estimating Population Average From A Sample.

The Student-T Distribution.

Polling Statistics.

Did A Sample Come From A Given Population?.

18. Chaos and Quanta.

Chaos.

Probability In Quantum Mechanics.

"The book is a very good tool for students and specialists in
different areas who do not like advanced statistics, but are
obliged to understand, a least partly, the process of decision
making." (International Statistical Review, December 2008)

"The fact that Dworsky uses examples from many fields, and
discusses topics not usually covered in beginning course, may also
increase student interest in pursuing statistics at a more advanced
level." (MAA Reviews, July 2008)