Y1 - Business Statistics

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1. Lecture 3: Discrete distribution
2. Discrete Distributions
3. Discrete uniform Distribution
4. Probability Distributions: Tables and Figures
5. Probability Mass Function(PMF)
6. Cumulative Distribution Function (CDF)
7. Summarizing Probability Distributions
8. Measuring the centrality of a distribution: The expectation (E)
9. Measuring the variability of a distribution: Variance and Standard Deviation
10. Manipulation Rules for Expectations
11. Manipulation Rules for Variances: The Independence case
12. Manipulation Rules for Variances: Without independence
13. Bernoulli Distribution
14. Binomial Distribution
15. Working with Binomial Distribution
16. Poisson Distribution
17. Hypergeometric Distribution
18. Lecture 4: Continuous Distributions
19. The idea of a continuous distribution
20. Two important changes for continuous versus discrete probability distributions
21. Expectations and Variances for continuous Distributions
22. Uniform Continuous Distribution
23. The normal distribution
24. Computing normal probabilities: Z-Scores and Standardization
25. Exponential Distribution
26. Exercise 1:
27. Student Distribution
28. Chi-squared distribution