Faculty of Actuaries Institute of Actuaries EXAMINATION 12 April 2005 (am) Subject CT3 Probability and Mathematical Statistics Core Technical Time allowed: Three hours INSTRUCTIONS TO THE CANDIDATE 1. Enter all the candidate and examination details as requested on the front of your answer booklet. 2. You must not start writing your answers in the booklet until instructed to do so by the supervisor. 3. Mark allocations are shown in brackets. 4. Attempt all
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life. This study aims to aid in formulating traffic road policies in the busiest roads in the Philippines‚ the Metro Manila‚ through Bayesian methods. The monthly number of road accidents due to driver error in Metro Manila was assumed to follow a Poisson distribution. With this‚ the researchers were able to estimate the number of human error-caused driving accidents that will occur in Metro Manila in 2013 which is 1545.4271. A predictive 1
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Regression Ordinal 1. Opinion survey 2. Rating systems Ordered Logistic Regression Ordered Probit Regression Nominal 1. Occupation choice 2. Blood type Multinomial Logistic Regression Count 1. Consumer demand 2. Health demand Poisson Regression Negative Binomial Regression Logistic Regression Cancer or not ? Answer depends on: • What is the age of the person
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IEEE 802.15.4: a wireless communication technology for large-scale ubiquitous computing applications Anis Koubâa‚ Mario Alves‚ Eduardo Tovar PP-HURRAY! Research Group‚ Polytechnic Institute of Porto Rua Dr. Antonio Bernardino de Almeida‚ 431‚ 4200-072 Porto‚ PORTUGAL {akoubaa‚ emt}@dei.isep.ipp.pt‚ mjf@isep.ipp.pt Abstract. Wireless Sensor Networks (WSNs) have been attracting increasing interest for supporting a new generation of ubiquitous computing systems with great potential for many applications
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GENES-4-SALE BIOTECH FIRM G4S is a new startup company that has developed a customized baldness cure based on gene-splicing research done at UT. By taking a sample of hair follicles‚ G4S is able to use modified RNA and a proprietary bioreactor to produce a hair-growth pill specialized for that individual. The primary limitation is a constraint on the elapsed time from the removal of the hair follicles to the drying stage in the process – if more than 6 hours elapse‚ the effectiveness of the pill
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http://www.fas.usda.gov/gats/ExpressQuery1.aspx Feenstra‚ Robert C. (2004). Advanced International Trade: Theory and Evidence. Princeton: Princeton University Press Flowerdew‚ R. and M. Aitkin (1982). ‘’A Method of Fitting the Gravity Model Based on the Poisson distribution‚’’ Journal of Regional Science‚ 22(2)‚ 191-202. Frazer‚ G. and Van Biesebroeck. (2007)‚ ‘’Trade growth under the African Growth and Opportunity Act.’’ NBER Working Paper Series‚ National Bureau of Economic Research‚ Francois‚ J. B. Hoekman
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Chapter 12 ********** 22‚ 32‚ 40 Evan Lee Turner #22 Random samples of five were selected from each of three populations. The sum of squares total was 100. The sum of squares due to the treatments was 40. a. Set up the null hypothesis and the alternate hypothesis. b. What is the decision rule? Use the .05 significance level. c. Complete the ANOVA table. What is the value of F? d. What is your decision regarding the null hypothesis?
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CHAPTER 3 ASSIGNMENT DESCRIBING DATA: NUMERICAL MEASURES Part I Select the correct answer and write the appropriate letter in the space provided. c 1. The arithmetic mean is computed by a. finding the value that occurs most often. b. finding the middle observation and dividing by 2. c. summing the values and dividing by the number of values. d. selecting the value in the middle of the data set. c 2. To compute the arithmetic mean at least the a. nominal level of measurement is required
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Parameters * Population mean = μ = ( Σ Xi ) / N * Population standard deviation = σ = sqrt [ Σ ( Xi - μ )2 / N ] * Population variance = σ2 = Σ ( Xi - μ )2 / N * Variance of population proportion = σP2 = PQ / n * Standardized score = Z = (X - μ) / σ * Population correlation coefficient = ρ = [ 1 / N ] * Σ { [ (Xi - μX) / σx ] * [ (Yi - μY) / σy ] } Statistics Unless otherwise noted‚ these formulas assume simple random sampling. * Sample mean = x = ( Σ xi ) / n *
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Operations Management Notes & Study Guide Chapter 1 (MSWD) When people wait‚ there is a mismatch between supply and demand‚ with respect either to their timing or their quantities. By better matching supply w demand‚ a firm gains a significant competitive advantage over its rivals. Demand can vary (in either predictable or unpredictable ways) and supply is inflexible. Pg. 2 – great Table that shows examples of supply-Demand Mismatch Even a seemingly small improvement in operations can have a
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