Chapter 3 Probability Distributions 1. Based on recent records‚ the manager of a car painting center has determined the following probability distribution for the number of customers per day. Suppose the center has the capacity to serve two customers per day. |x |P(X = x) | |0 |0.05 | |1 |0.20 | |2 |0.30 | |3 |0.25 | |4 |0.15 | |5 |0.05 | a. What is the probability that one
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ACC 491 Week 5 Team Study Guide Audit Sampling Case Memo - www.paperscholar.com DIRECT LINK TO THIS STUDY GUIDE: http://www.paperscholar.com/acc-491-week-5-team-assignment-audit-sampling-case-memo-7/ Instantly Download! Get Better Grades in Less Time! 100% Satisfaction Guarantee DESCRIPTION FOR THIS STUDY GUIDE: TUTORIAL: This tutorial includes 12 pages‚ 1‚965 words‚ and three references in correct APA format. A+++ WORK! Resources: Ch. 13 of Modern Auditing: Assurance Services and the
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EXERCISES (Discrete Probability Distribution) EXERCISES (Discrete Probability Distribution) P X x n C x p 1 p x BINOMIAL DISTRIBUTION n x P X x n C x p 1 p x BINOMIAL DISTRIBUTION n x 1. 2. 3. The probability that a certain kind of component will survive a given shock test is ¾. Find the probability that exactly 2 of the next 4 components tested survive. The probability that a log-on to the network is successful is 0.87. Ten users
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Estimating plant population density: Time costs and sampling efficiencies for different sized and shaped quadrats Jennifer K. CARAH 1‚3 (corresponding author) jkcarah@sfsu.edu 415-333-6092 home 415-244-1725 mobile 415-405-0306 fax Lucas C. BOHNETT1‚2 lucasbohnett@hotmail.com Anastasia M. CHAVEZ 1‚2 anastasia.chavez@gmail.com Dr. Edward F. CONNOR1 efc@sfsu.edu 1 2 Department of Biology Department of Mathematics San Francisco State University 1600 Holloway Avenue San Francisco
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bagel. (a) Find the probability distribution for X. (b) Suppose at least 3 people buy a plain bagel. What is the probability that exactly 4 people buy a plain bagel? 3. The probability distribution for a discrete random variable X is given by the formula p(r) = for r = 1‚ 2‚ . . . ‚ 6. (a) Verify that this is a valid probability distribution. (b) Find P (X = 4). (c) Find P (X > 2). (d) Find the probability that X takes on the value 3 or 4. (e) Construct the corresponding probability histogram. 4. Two
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Chapter 2—Introduction to Probability PROBLEM 1. A market study taken at a local sporting goods store showed that of 20 people questioned‚ 6 owned tents‚ 10 owned sleeping bags‚ 8 owned camping stoves‚ 4 owned both tents and camping stoves‚ and 4 owned both sleeping bags and camping stoves. Let: Event A = owns a tent Event B = owns a sleeping bag Event C = owns a camping stove and let the sample space be the 20 people questioned. a. Find P(A)‚ P(B)‚ P(C)‚ P(A C)‚ P(B C). b
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Random Variable and Its Probability distribution “A random variable is a variable hat assumes numerical values associated with the random outcome of an experiment‚ where one (and only one) numerical value is assigned to each sample point”. “A random variable is a numerical measure of the outcome from a probability experiment‚ so its value is determined by chance. Random variables are denoted using letters such as X‚Y‚Z”. X = number of heads when the experiment is flipping a coin 20 times. There
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“Deciding on a sampling procedure for a study on understanding teaching and learning relations for minority children in Botswana classrooms” Sampling is a very important statistical tool used by researchers to find accurate results that represents the complete attributes of population. Different types of sampling are used for different type of data. For example: probability sampling is used for quantitative data as attributes of such data can easily be generalized to population
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Acceptance Sampling Acceptance sampling has traditionally been a partner of statistical process control and control charts in the area of statistical quality control. Products are shipped around in batches or lots‚ and the idea behind acceptance sampling is that a batch can be declared to be satisfactory or unsatisfactory on the basis of the number of defective items found within a random sample of items from the batch. Thus acceptance sampling provides a general check on the “quality” of the items
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Simple Random Sampling is done when every individual subject in the population has an equal chance of being selected for the sample‚ without any bias (Explorable). For example‚ if a researcher wants to represent the population as a whole‚ they can pick random numbers or names out a hat or use a program to randomly choose names so the information is not biased. Stratified Sampling is performed by‚ dividing the population into at least two (or more) groups or sections‚ which share certain characteristics
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