1)Discuss how you can tell the difference between a Binomial random variable and a Poisson random variable
2)Discuss how to calculate probabilities for continuous random variables.
3)Give three interpretations for the area under a normal curve.
4)Discuss what a normal probability plot is used for
and how it is used.
1.The distinction between the two is that the Binomial is based on discrete events while the Poisson is based on continuous events while both calculate the number of such random events (or "successes") within a certain frame.
2.The c.d.f. can be used to compute the likelihood of a random variable between two values: P(s = X = t) = the probability ofX being between s and t. But that is equal to the likelihood that X 3will be minus the likelihood that X will be s.
3 Proportion , Probability and
4.Standard Plot Likelihood. The usual probability plot is a graphical tool used to determine whether or not a collection of adata is distributed approximately as usual. The data is plotted against a normal theoretical distribution, such that the points will form an approximate straight line.
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