# Search Results: 'conditional probability'

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102 results for "conditional probability"
Prior, Conditional and Posterior Probability
eBook (PDF): \$5.99
"A consulting firm submitted a bid for a large research project. The firm’s management initially felt they had a 50/50 chance of getting the project. However, the agency to which the bid... More > was submitted subsequently requested additional information on the bid. Past experience indicates that for 75% of the successful bids than 40 % of the unsuccessful bids the agency requested additional information. a. What is the prior probability of the bid being successful (that is , prior to the request for additional information)? b. What is the conditional probability of a request for additional information given that the bid will ultimately be successful. c. Compute the posterior probability that the bid will be successful given a request for additional information. "< Less
Calculation of Conditional Probabilities of an Event
eBook (PDF): \$5.99
"a) What is the probability that the machine is in adjustment? b) The first unit produced after the calibration effort to be found to be defective. What is the probability that machine is in... More > adjustment? "< Less
Conditional and Compound Probabilities
eBook (PDF): \$5.99
"The table below gives the distribution of blood types by gender in a group of 1000 individuals. Answers for parts a through f can be stated as fractions, such as 5/7, or as decimals) A person... More > is selected at random from the group. Find the required probability. Show work for each part."< Less
Mortality Factors for Valuation: Age-Based Conditional Probabilities of Death, 2013 By et al.
Hardcover: \$300.00
This 681-page volume provides 18 different demographic conditional probabilities of death tables calculated based on values from the NCHS 2013 Life Tables. Each table provides probabilities of dying... More > at some future point in time conditioned on a ‘Current Age’ between 0 and 99 plus a group ages 100 and over. The values for any given column sum to the value of one. Thus, older individuals have higher conditional probabilities of death at a given future age than younger individuals will have at the same given future age. This is an in-depth extension of the marginal probabilities of death contained in the NCHS Life Tables. The 18 demographics match the 18 demographics from the NCHS Life Tables.< Less
Mortality Factors for Valuation: Age-Based Conditional Probabilities of Death, 2012 By et al.
Hardcover: \$300.00
This 681-page volume provides 18 different demographic conditional probabilities of death tables calculated based on values from the NCHS 2012 Life Tables. Each table provides probabilities of dying... More > at some future point in time conditioned on a ‘Current Age’ between 0 and 99 plus a group ages 100 and over. The values for any given column sum to the value of one. Thus, older individuals have higher conditional probabilities of death at a given future age than younger individuals will have at the same given future age. This is an in-depth extension of the marginal probabilities of death contained in the NCHS Life Tables. The 18 demographics match the 18 demographics from the NCHS Life Tables.< Less
Addition and Complementary Law of Probability
eBook (PDF): \$5.99
"A survey of adults found the following: 65% of the adults drink coffee. 35% drink tea. 80% drink coffee or tea (or both). If we choose a surveyed adult at random, find the required... More > probability. Show some work for each part. A diagram can be helpful. "< Less
Elementary Concepts of Probability & Statistics
Paperback: \$42.31
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
Introduction to Probability Theory
Paperback: \$19.94
There are two types of experiments. (i) The experiments whose outcome is known, certain and unique is called deterministic or predictable phenomenon or experiment. (ii) The experiments whose out-... More > come is not unique but one among several possible outcomes. These several possible outcomes are known but outcome of the experiment at particular trial is not known. This phenomenon is known as unpredictable or probabilistic phenomenon. These types of experiments are called random experiment. Thus formally we will define random experiment as under. Random Experiment: If each trial of an experiment conducted under identical conditions, the outcome is not unique but may be one of the possible outcomes, then such an experiment is called random experiment. It is denoted by E. For example: (1) Tossing a coin. (2) Tossing 2 coins. (3) Rolling a dice. (4) Rolling 2 dice< Less
Elementary Concepts of Probability & Statistics
eBook (PDF): \$24.20
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
Calculation of Probabilities Using Binomial Distribution
eBook (PDF): \$5.99
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

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