People Innovation Excellence

PROBABILITY THEORY AND APPLIED STATISTICS (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: calculate probability of events, expected value, variance of random variables, and probabilities distributions in specific applications, Use proper statistical techniques for statistical decision making in the real problem, Use MINITAB software to conduct analyses, Interpret the results of statistics calculation and output of analysis using MINITAB, Explain the suitable decision from statistical method solution

Topics:

  1. Introduction to Probability Theory
  2. Discrete Random Variables and Probability Distributions
  3. Continuous Random Variables and Probability Distributions
  4. The Normal Distribution
  5. Descriptive Statistics
  6. Comparing Two Populations Mean
  7. Discrete data analysis
  8. The analysis of variance
  9. Regression and correlation
  10. Non parametric statistical analysis

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