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1、 Probability Exam The Probability Exam is a three-hour multiple choice examination and is referred to as Exam P by the SOA and Exam 1 by the CAS. The examination is jointly sponsored and administered by the SOA, CAS, and the Canadian Institute of Actuaries (CIA). The examination is also jointly spon
2、sored by the American Academy of Actuaries (AAA) and the Conference of Consulting Actuaries (CCA). The Probability Exam is administered as a computer-based test. For additional details, Please refer to “Computer- Based Testing Rules and Procedures”.The purpose of the syllabus for this examination is
3、 to develop knowledge of the fundamental probability tools for quantitatively assessing risk. The application of these tools to problems encountered in actuarial science is emphasized. A thorough command of the supporting calculus is assumed. Additionally, a very basic knowledge of insurance and ris
4、k management is assumed. A table of values for the normal distribution is available below for candidates to download and will be included with the examination. Since the table will be included with the examination, candidates will not be allowed to bring copies of the table into the examination room
5、. Check the Updates section on this exams home page for any changes to the exam or syllabus. LEARNING OUTCOMES Candidates should be able to use and apply the following concepts in a risk management context: 1. General Probability Set functions including set notation and basic elements of probability
6、 Mutually exclusive events Addition and multiplication rules Independence of events Combinatorial probability Conditional probability Bayes Theorem / Law of total probability 2. Univariate probability distributions (including binomial, negative binomial, geometric, hypergeometric, Poisson, uniform,
7、exponential, gamma, and normal) Probability functions and probability density functions Cumulative distribution functions Mode, median, percentiles, and moments Variance and measures of dispersion Moment generating functions Transformations 3. Multivariate probability distributions (including the bi
8、variate normal) Joint probability functions and joint probability density functions Joint cumulative distribution functions Central Limit Theorem Conditional and marginal probability distributions Moments for joint, conditional, and marginal probability distributions Joint moment generating function
9、s Variance and measures of dispersion for conditional and marginal probability distributions Covariance and correlation coefficients Transformations and order statistics Probabilities and moments for linear combinations of independent random variables REFERENCES Suggested Texts There is no single re
10、quired text for this exam. The texts listed below may be considered as representative of the many texts available to cover material on which the candidate may be examined. Texts are added and deleted as part of a regular process to keep the list up-to-date. The addition or deletion of a textbook doe
11、s not change the bank of questions available for examinations. There is no advantage to selecting a text recently added or not using a text recently removed. Not all the topics may be covered adequately by just one text. Candidates may wish to use more than one of the following or other texts of the
12、ir choosing in their preparation. Earlier or later editions may also be adequate for review. The # indicates new or updated material. A First Course in Probability (Eighth Edition), 2009, by Ross, S.M., Chapters 18. Mathematical Statistics with Applications (Seventh Edition), 2008, by Wackerly, D.,
13、Mendenhall III, W., Scheaffer, R., Chapters 1-7. Probability for Risk Management, (Second Edition), 2006, by Hassett, M. and Stewart, D., Chapters 111. Probability and Statistical Inference (Eighth Edition), 2009, by Hogg, R.V. and Tanis, E.A., Chapters 15. Probability and Statistics with Applicatio
14、ns: A Problem solving Text, 2010, by Asimow, L. and Maxwell, M. Probability: The Science of Uncertainty with Applications to Investments, Insurance and Engineering 2001, by Bean, M.A., Chapters 19. Study Notes The candidate is expected to be familiar with the concepts introduced in “Risk and Insurance”. Code Title Tables for Exam P/1Exam P/1 Sample Questions and Solutions (1152) P-21-05 Risk and Insurance
