Poisson Distribution and Bayes Theorem by Edu Pristine

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Edu Pristine

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... not change over different intervals. The probability of an event in one interval is independent of the probability of an event in any other interval which is not overlapping.
Poisson distribution is a special case of Binomial distribution when the probability of success (p) becomes very small and ...

... For Quantitative Analysis-I (Confidential

... independent trials each with a probability of success of "p"? A. When the mean of the Poisson distribution is very small. B. When the variance of the ...

... to allow approximation with a Normal distribution. INCORRECT: D, The Normal distribution can approximate the distribution of a Poisson random variable with © EduPristine. For Quantitative Analysis-I (Confidential). INCORRECT: D, The Normal distribution can approximate the distribution of a Poisson random variable with a large lambda ...

... a suburb of Houston averages. 2.1 per day. What is the (approximate) ...

... Is there any other intuitive way as well? ...

... 30 percent of the cabs in the city are Green cabs. Moreover, historically speaking. Blue cabs have been involved in 70 % of all traffic accidents in the city that involved cabs, and Green cabs have been involved in 30 % of all traffic accidents in the city that involved cabs. One night, there is a traffic accident involving a taxi-cab in the city, to which there is one witness. ...

... If the witness has said that it was a blue car, then what's the probability that it was actually blue. Applying Bayes Theorem now: © EduPristine. For Quantitative Analysis-I (Confidential).Applying Bayes Theorem now: ...

... Identifies it as: 0.30.3 0.3*0.2 =0.06 0.3*0.2 =0.060.3*0.8=0.240.3*0.8=0.24. Witness is wrong. Witness is right. © EduPristine. For Quantitative Analysis-I (Confidential).
Therefore the probability of ...

... probability of picking a red ball from Andrew’s box. After the exchange, Tom stole a ball from one of the boxes and found that it’s white. ...

... Therefore the probability of picking a red ball from Andrew’s box is: P(R Andrew ) = 4 / (5+4) = 4/9. Now Tom stole a white ball from one of the two boxes. To make a calculated guess about who lost 1 white ball, we need to calculate the conditional probabilities.P(Jack’s box/If the balls is White) = Probability of white balls in Jack’s box/(Probability of ...