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STA 211 Statistical Theory II

ND2 levelSciences24 topics

STA 211 covers 24 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Continuous random variables
  2. Continuous vs discrete random variables
  3. Probability density function
  4. Distribution function and cumulative distribution function
  5. Uniform distribution
  6. Exponential distribution
  7. Applications of continuous distributions
  8. Normal distribution
  9. Standard normal distribution
  10. Use of normal distribution tables
  11. Applications of the normal distribution
  12. Normal approximation to binomial and Poisson distributions
  13. Applications of distribution approximations
  14. Expectation of continuous random variables
  15. Expectations for uniform, normal and exponential distributions
  16. Variance of continuous probability distributions
  17. Applications of expectation to practical problems
  18. Moments of probability distributions
  19. Moments about origin and mean
  20. Moment generating function
  21. Properties of moment generating functions
  22. Using MGF to compute moments
  23. Relationship between expectation and moments
  24. Mean and variance using moments

A sample from this course

One topic, as StudyPath teaches it.

Continuous random variables

Continuous random variables are those that can take any value in a continuous range, such as time, distance or weight. Mastering their probability density functions, cumulative distribution functions and key properties (mean, variance, moments) is essential for solving probability and expectation problems in the NUC/CCMAS exams.

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