"Among Orthodox Jews, families are expected to be large. Among Ashkenazim, a segment of the Jewish population, Tay-Sachs disease is [TSD] a relatively common disorder. TSD is an inherited... More > autosomal recessive disorder, i.e., both parents must be carriers in order that a child inherits the disease. Suppose 2 such Ashkenazim parent-carriers have 12 children. What is the probability that:
[1] No children will have TSD?
[2] At least 1 child will be born with TSD?
[3] No more than 2 children will have TSD?
"< Less

"Assume the likelihood that any flight on Northwest Airlines arrives within 15 minutes of the scheduled time is .90. We select four flights from yesterday for study.
a. What is the likelihood... More > all four of the selected flights arrived within 15 minutes of the scheduled time?
b. What is the likelihood that none of the selected flights arrived within 15 minutes of the scheduled time?
c. What is the likelihood at least one of the selected flights did not arrive within 15 minutes of the scheduled time?
"< Less

According to Best buy, 2/3 citizens have iPods. In a randomly selected group of 3 iPod owners, what is the probability that all 3 would have iPods from best buy? Or at least one would have iPod from... More > best buy?< Less

"A bag contains 5 blue balls and 8 purple balls. If 3 balls are chosen randomly and without replacement, form the bag. Let x be the number of blue balls obtained. Then x has a distribution.
(a)... More > Poisson
(b) Geometric
(c) Normal
(d) Binomial
(e) Hypergeometic
"< Less

"Now suppose the family decides to have only 3 children. What is the probability that:
[1] No children will have TSD?
[2] At least 1 child will be born with TSD?
... More > [3] No more than 2 children will have TSD?
"< Less

This book provides a concise exposition of probability and statistics concepts for undergraduate engineering students. It is achieved by presenting the concepts as coherent stories stitched together... More > by appropriate mathematics without unnecessary formality. There are exercise problems at the end of each chapter. It starts with notions of probability: statistical independence, conditional probability, Venn diagram, Bayes' theorem, and then continues to discrete and continuous probability distributions: binomial, negative binomial, Poisson, beta, normal, gamma, Weibull. They are followed by confidence intervals and hypothesis tests. Central limit theorem and chi-square distribution function are derived in details. The last chapter covers parameter estimators. This textbook offers a fresh alternative to more bulky undergraduate-level textbooks that strive to be complete vessels of information: too many formulas, examples, figures, and exercise problems.< Less

This book provides a concise exposition of probability and statistics concepts for undergraduate engineering students. It is achieved by presenting the concepts as coherent stories stitched together... More > by appropriate mathematics without unnecessary formality. There are exercise problems at the end of each chapter. It starts with notions of probability: statistical independence, conditional probability, Venn diagram, Bayes' theorem, and then continues to discrete and continuous probability distributions: binomial, negative binomial, Poisson, beta, normal, gamma, Weibull. They are followed by confidence intervals and hypothesis tests. Central limit theorem and chi-square distribution function are derived in details. The last chapter covers parameter estimators. This textbook offers a fresh alternative to more bulky undergraduate-level textbooks that strive to be complete vessels of information: too many formulas, examples, figures, and exercise problems.< Less