The probability that a baseball player hits a home run is greater than the probability that he gets a successful hit. (Select all that apply.) A.) A home run is the only type of successful hit, so the probabilities of each must be equal. B.)The probability that he hits a home run and the probability that he gets a successful hit must add up to 1. C.)The probability that he gets a successful hit must be 1, since a successful hit is always possible, and therefore the probability that he hits a home run cannot be greater. D.)A home run by definition is a successful hit, so the probability that he gets a successful hit must be greater than, or at least equal to, the probability that he hits a home run. E.)These probabilities cannot be calculated, so it is impossible to say which one is greater.

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A: Given Data: P( home connection failure)=0.23 P( phone connection failure)=0.18

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A:

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A:

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A: Given : Mean= 9.12 Sd.  =0.05

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A: let X be the hit the target n=3, p=0.90 X~B(3,0.90) (1) P(X>=2)= ?  (2) P(X=2)= ?

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A: Hi thank you for posting this question,  since you have posted multiple question as per our policy…

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A:

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A:

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Q: According to the classical definition of probability A All the outcomes are equally likely.

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A:

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.