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What have you learned
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sheppard, Jack |
| Copyright Year | 2010 |
| Abstract | 1. What are the expectation and the variance of a random variable? How do they compare to the mean and the variance of a sample? 2. Important discrete random variables: Bernoulli, Binomial, Hypergeometric, Negative binomial and Poisson. What is the relationship between these random variables? 3. What are the probability mass functions, the expectations, and the variances of the above random variables? 4. Why can’t we define probability mass function for continuous random variables just like what we do for discrete random variables? 5. Important continuous random variables: Uniform, Normal, Exponential. 6. Can you recognize these random variables below from their probability mass/density functions? |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.stat.columbia.edu/~song/files/what2.pdf |
| Alternate Webpage(s) | http://www.stat.columbia.edu/~song/files/what3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
