Miracles. Ithaca N.Y.: Cornell University Press. Mavrodes‚ George I. 1995. “Polytheism.” In The Rationality of Belief and the Plurality of Faith‚ Cornell University Press. ed. Thomas D. Senor. Ithaca N.Y.: Mavrodes‚ George I. 1998. “David Hume and the Probability of Miracles.” International Journal for Philosophy of Religion 43: 167–82. McKinnon‚ Alastair. 1967. “ ‘Miracle’ and ‘paradox.’ ” American Philosophical Quarterly 4: 308–14. Excerpt in Swinburne 1989‚ 49–52. Paley‚ William. 1794. Evidences of Christianity
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Calculating the Probability of a Type II Error To properly interpret the results of a test of hypothesis requires that you be able to judge the pvalue of the test. However‚ to do so also requires that you have an understanding of the relationship between Type I and Type II errors. Here‚ we describe how the probability of a Type II error is computed. A Type II error occurs when a false null hypothesis is not rejected. For example‚ if a rejection region
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Manuscript ID: CO/2003/022870 Specialty Area: Cost & Schedule Audience: Researchers PROBABILITY OF PROJECT COMPLETION USING STOCHASTIC PROJECT SCHEDULING SIMULATION (SPSS) Dong-Eun Lee1 ABSTRACT This paper introduces a software‚ Stochastic Project Scheduling Simulation (SPSS)‚ developed to measure the probability to complete a project in a certain time specified by the user. To deliver a project by a completion date committed to in a contract‚ a number of activities need to be carried out. The time
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DISTRIBUTIONS I. Concept of probability (3%) 1. Explain why the distribution B(n‚p) can be approximated by Poisson distribution with parameter if n tends to infinity‚ p 0‚ and = np can be considered constant. 2. Show that – and + are the turning points in the graph of the p.d.f. of normal distribution with mean and standard deviation . 3. What is the relationship between exponential distribution and Poisson distribution? II. Computation of probability (7%) 1. Let
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cancer)=6501000 ×191000=.01235 No because the probability of living in Laketown and having cancer is not equal to the probability of just having cancer b) P( Living in River City and having cancer)=19-131000-650=.01714<.02(probability of living in Laketown and having cancer). Better to live in River City 2.33 Probability ofr successes in n trials=n!r!(n-r)!×prqn-r The probability of having exactly 3 sales in 4 attempts is 10.29% and the probability of 4 sales in the same number of attempts
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However‚ this is not as horrible as having no secondary supplier to rush order from. Rushing supplier-2 the meet the remainder of the demand will come at a price. The expected rush probability is at 22%‚ which is high since it is a holiday season in this scenario. A screenshot of the output for this problem can be found in Appendix B-2. With the expected percentage of rushing being 22.2% and total quantity needed from supplier-2 being
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Mathematics 3CD – Further Examination Practice Questions. 1. [3‚ 3 and 3 = 9 marks] Consider the function i) Show that ii) Determine the domain for which the function is increasing. iii) Given that determine the values of x for which the function is concave downwards. 2. [1‚ 3 and 4 = 8 marks] Consider the functions and i)
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Q1 Let A = Set of boys of XII Class in some school. Let a R b‚ if and only if a and b use unfair means in the exam‚ a‚b A (i) Is R a transitive relation? (ii) Should a student use such means? If not why Q2 There are two families P and Q . There are 3 men‚ 3 women and 12 children in family P and 2men‚ 2 women and 4 children in family Q. The recommended daily allowance for calories is : Man : 2400‚ woman : 2000‚ child : 1400 and
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can be pursued. There are several outside factors that they must consider in making their decision. The success of the projects depends on the state of the economy. They assume the state of the economy can either RECOVER with probability p or stay WEAK with probability 1-p. They must also consider new Green House Gas (GHG) legislation supported by the Obama administration that would negatively impact SUV sales while positively impacting VOLT sales. SPORT sales are not expected to be affected
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Waiting line management: unit 11. The waiting line is a list of customers who remains waiting for getting certain goods or services from service center. Understanding waiting lines or queues and learning how to manage them is one of the most important areas in operation management. In organizations or in personal life‚ there are examples of processes which generates waiting lines or queues. Such waiting lines occur because the current services facility is insufficient to provide service at that
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