# Search Results: 'probability'

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4,626 results for "probability"
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
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
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
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
Introduction to Probability for Children
eBook (ePub): \$2.99
(1 Ratings)
Probability is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher... More > the probability of an event, the more certain that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is unbiased, the two outcomes ("head" and "tail") are both equally probable. Since no other outcomes are possible, the probability is 1/2 (or 50%), of either "head" or "tail". In other words, the probability of "head" is 1 out of 2 outcomes; the probability of "tail" is also 1 out of 2 outcomes, expressed as 0.5.< Less
Types of Samples in Probability
eBook (PDF): \$1.00
In day to day life, we come across persons making an assessment of the population through samples. A housewife tests a small quantity of rice to see if it is well cooked. An auditor checks a sample... More > of accounts to know the number of errors in the entire population of his accounts. The importance of the theory of sampling lies in the fact that for a large population, it is neither practical nor possible to collect data for each and every number of the population. In testing the quality of the bulbs produced, by a company it is impossible to test every bulb manufactured by the company; however, it is quite sufficient if a sample is taken for testing and based on this test it is possible to draw conclusion about the population.< 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
Probability Binomial With Parameters
eBook (PDF): \$5.99
"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
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
Statistics Probability Combinatorics
eBook (PDF): \$5.99
A jar contains 5 red jelly beans, 9 yellow jelly beans, and 16 orange jelly beans. Suppose that each jelly bean has an equal chance of being picked from the jar. If two jelly beans are selected at... More > random from the jar, what is the probability that neither is yellow? Show work.< Less

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