Read the two statements and choose the correct option.
I. The Poisson distribution suits a large number of trials, each with a small chance of success.
II. A Poisson random variable can take negative values.

Only ICorrect answerYour answerOnly IICorrect answerYour answerBoth I and IICorrect answerYour answerNeither I nor IICorrect answerYour answer

Show the answer and explanation

CorrectNot quiteAnswer A

Correct answer: A

I: it is the limit of the binomial when $n$ is large and $p$ small, with $np = \lambda$ . True.
II: it counts events, $0, 1, 2, \dots$ , so it is never negative. False.

Ten questions from Binomial & Poisson Distributions, at your own pace.

Ten questions from Binomial & Poisson Distributions, at your own pace.

Read the two statements and choose the correct option.I. The Poisson distribution suits a large number of trials, each with a small chance of success.II. A Poisson random variable can take negative values.