STATISTIC FOR BUSINESS EXCELLENCE (4 Credits)

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.