People Innovation Excellence

Statistic for Business Excellence

Learning Outcomes

After completing this course, students will be able to know: how to extract meaningful information from piles of raw data ; how to make inferences about the nature of population based on observations of a sample taken from that population; how to predict the rates of occurrences of random events; how to understand and interpret statistical calculations performed by others

Topics

  1. Why statistics?
  2. Descriptive Statistics
  3. Introduction to Probability and Hypothesis Testing
  4. Calculating Probabilities
  5. Conditional Probability
  6. Random Variables
  7. The Binomial, Poisson, and Hypergeometric Distributions
  8. The normal distribution and related distribution
  9. Distributions with two random variables
  10. Statistical Estimation
  11. Confidence Intervals
  12. Polls and Sampling
  13. Hypothesis Testing
  14. Analysis of Variance
  15. Simple Linear Regression
  16. Multiple Linear Regression
  17. Nonparametric methods
  18. Business Data
  19. Decision Theory.

 


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