How can we compute the probability for each combination in the sample space?
Answer:
Given,
To compute the probability for each combination in the sample space
Here we can say that both Binomial & Hyper-geometric are utilized for the discrete probability distribution where as poison model is used for the continuous probability distribution.
So we can say that sum of individual probabilities is the right answer.
i.e.,
Option B is right answer.
How can we compute the probability for each combination in the sample space? Binomial Sum of...
If we sample from a small finite population without replacement, the binomial distribution should not be used because the events are not independent. If sampling is done without replacement and the outcomes belong to one of two types, we can use the hypergeometric distribution. If a population has A objects of one type, while the remaining B objects are of the other type, and if n objects are sampled without replacement, then the probability of getting x objects of type...
Problem 1.2 As we saw in class, if a sample space S consists of a finite number of outcomes, then it is possible to assign each outcome its own probability. In this special case, the proba bility of an event can be calculated by adding up the probabilities of its individual outcomes. Specifically, if E s1,s2,, Sm), then Additionally, if all outcomes are equally likely, this formula simplifies to P[El-# of outcomes in E ] _ #Of outcomes in S...
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