I’m stuck on a Statistics question and need an explanation.
- What makes a function of a discrete variable a candidate for a discrete random variable distribution? What about the counterpart of this candidacy in the case of a continuous variable?
- Provide a detailed discussion on the distribution of:
- A discrete random variable, in general terms, and then provide a numerical example of this distribution.
- What are the mean and the standard deviation in your example?
- How does this differ in the case where the random variable is continuous?
- Explain the significance of the mean, variance, and standard deviation for a random variable.
- How does the probability of a union of disjoint events exhibit itself when dealing with a (discrete or continuous) random variable? Provide an example
- What is the expectation operation and what are its properties? How does the expectation operation yields relate between the mean, the standard deviation, and the second moment?


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