Probability

Course #OA3101

Start Starts: not available

Clock Est. completion in 3 months

Location pin Offered through Distance Learning

Avg. tuition cost per course: See tuition Info For specific tuition costs of each program or contact information, please contact the NPS Tuition office at tuition@nps.edu .

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Overview

Probability axioms, counting techniques, conditional probability. Discrete and continuous probability distributions: binomial, hypergeometric, negative binomial, Poisson, normal, exponential, gamma, and others. Joint probability distributions, conditional distributions and conditional expectation, linear functions. Random samples, probability plots.  CO-REQUISITES: MA1118 and MA3042.

Corequisites

  • MA1118
  • MA3042

Learning Outcomes

After successfully completing this course, students will be able to:

  • Identify the components that comprise a probability model, and the quantities that would need to be estimated in order to draw quantitative conclusions from the model.
  • Use counting techniques to solve probability problems involving equally likely outcomes.
  • Compute conditional probabilities using their definition and using Bayes’ Rule.
  • Identify commonly used discrete probability distributions, articulate their underlying assumptions, and use them to compute probabilities.
  • Identify commonly used continuous probability distributions, articulate their underlying assumptions, and use them to compute probabilities.
  • Compute probabilities using joint probability distributions.