MA490-B Directed Study Spring 2007 Syllabus

Topic: Actuarial Exam P1


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SectionDateTopic
Text Reference
1.2 Permutations and Combinations  Fundamental Principal of CountingA&M p. I-1
 PermutationsA&M p. I-1
 CombinationsA&M p. I-2
 Multinomial CoefficientsA&M p. I-4
1.3 Probability  Definitions:
  • random experiment
  • sample space
  • event
A&M p. I-4
 Probability AxiomsA&M p. I-4
 IndependenceA&M p. I-5
 Conditional ProbabilityA&M p. I-6
 Exclusive and Exhaustive EventsA&M p. I-6
 Theorem of Total ProbabilityA&M p. I-6
 Baye's TheoremA&M p. I-7
 Hypergeometric ProbabilityA&M p. I-7
 Bernoulli Trials and Binomial ProbabilityA&M p. I-8
 Multinomial ProbabilityA&M p. I-8
1.4 Additional Examples  ExamplesA&M p. I-9:I-17
1.5 Exercises  ExercisesA&M p. I-18:I-29
2.2 Univariate Random Variables  Definitions
  • random variable
  • discrete random variable
  • probability mass function
  • continuous random variable
  • probability density function
  • cumulative distribution function
  • mixed distribution
A&M p. II-1:II-3
2.3 Bivariate Random Variables  Definitions
  • random variable
  • joint pdf - discrete case
  • joint pdf - continuous case
  • joint cdf
  • marginal pdf
  • marginal cdf
  • independence of two random variables
  • symmetric pdf
  • independent identically distributed random variables
  • uniform pdf
A&M p. II-1:II-9
2.4 Additional Examples  ExamplesA&M p. II-12:I-18
2.5 Exercises  ExercisesA&M p. II-18:II-24
3.2 Moments and Moment Generating Functions  Definitions
  • random variable
  • expected value and mean
  • higher moments
  • variance
  • coefficient of skewness
  • covariance
  • correlation coefficient
  • percentile
  • median
  • mode
  • conditional expectation
A&M p. III-1:III-4
3.3 Properties of Moments  Properties A&M p. III-4
3.4 Moment Generating Function and its Properties  Definitions
  • moment generating function
  • joint mgf
  • cumulant generating function
  • properties of mgfs
A&M p. III-10:III-14
3.5 Additional Examples  ExamplesA&M p. III-14:III-18
3.6 Exercises  ExercisesA&M p. III-18:III-29
4.2 Transformation of Continuous Random Variables  TransformationsA&M p. IV-1
 Distribution Function ApproachA&M p. IV-1
 Density Function ApproachA&M p. IV-4
4.3 Jacobean Method  TransformationsA&M p. IV-1
4.4 Transformations for Discrete Random Variables  TransformationsA&M p. IV-1
4.5 Order Statistics  Definitions
  • random sample
  • properties of a random sample
  • order statistics
  • joint pdf of order statistics
  • sample median
  • sample range
A&M p. IV-1
 cdf and pdf of ith order statisticA&M p. IV-1
 joint pdf of ith and jth order statisticA&M p. IV-1
4.6 Additional Examples  ExamplesA&M p. IV-18:IV-24
4.7 Exercises  ExercisesA&M p. IV-24:IV-36
5.2 Bernoulli Distribution   A&M p. V-1
5.3 Binomial Distribution   A&M p. V-2
5.4 Poisson Distribution   A&M p. V-6
5.5 Discrete Uniform Distribution   A&M p. V-9
5.6 Negative Binomial Distribution   A&M p. V-10
5.7 Geometric Distribution   A&M p. V-12
5.8 Hypergeometric Distribution   A&M p. V-13
5.9 Multinomial Distribution   A&M p. V-14
5.10 Examples   A&M p. V-16
5.11 Exercises   A&M p. V-21
6.2 Uniform Distribution   A&M p. VI-1
6.3 Normal Distribution   A&M p. VI-4
6.4 Cauchy Distribution   A&M p. VI-11
6.5 Gamma Distribution   A&M p. VI-12
6.6 Exponential Distribution   A&M p. VI-13
6.7 Beta Distribution   A&M p. VI-17
6.8 Double Exponential Distribution   A&M p. VI-18
6.9 Bivariate Normal Distribution   A&M p. VI-19
6.10 Examples   A&M p. VI-21
6.11 Exercises   A&M p. V-27