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STA 122 Statistical Theory I

ND1 levelSciences15 topics

STA 122 covers 15 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. Random variables
  2. Discrete random variables and examples
  3. Probability mass function
  4. Properties of probability mass function
  5. Common discrete distributions
  6. Cumulative distribution function
  7. Properties of cumulative distribution function
  8. Expectation of a discrete random variable
  9. Properties of expectation
  10. Mean and variance by expectation
  11. Expectation for common discrete distributions
  12. Applications of mathematical expectation
  13. Functions of random variables
  14. Mean and variance of functions of discrete random variables
  15. Practical problems on functions of random variables

A sample from this course

One topic, as StudyPath teaches it.

Random variables

Random variables are the bridge between probability theory and statistics, allowing us to quantify uncertainty in measurable outcomes. Mastering their definitions, types (discrete vs continuous), and key properties (distribution, expectation, variance) is essential for solving probability problems and interpreting data in the NUC CCMAS, NBTE, and NCCE exams.

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