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Mathematics 21 Online
OpenStudy (anonymous):

Please help with binomial distribution question. How did they arrive at these answers? The questions are attached.

OpenStudy (anonymous):

ganeshie8 (ganeshie8):

still working on this ?

OpenStudy (anonymous):

Yes I am

OpenStudy (anonymous):

for part a) I thought it would be \[\left(\begin{matrix}4 \\ 1\end{matrix}\right) * 0.7 * 0.3^3\]

OpenStudy (anonymous):

but it is not, it is actually 0.7* 0.3^3

OpenStudy (anonymous):

Sorry i meant 0.8 and 0.2...

OpenStudy (kirbykirby):

These look like geometric distribution problems, not binomial. The geometric distribution looks at the number of trials until the 1st success occurs.

OpenStudy (anonymous):

that means i have can 4 trials

OpenStudy (kirbykirby):

Yes. And for the geometric distribution, we have that if X is the number of trials until the 1st success, then \[P(X=x)=(1-p)^{x-1}p, ~~~\text{for }x=1,2,3,... \]

OpenStudy (anonymous):

wouldn't p be raised so an exponent?

OpenStudy (anonymous):

it remains at one because of one successful event?

OpenStudy (kirbykirby):

yes indeed. There would be an exponent on the p if we talked about the negative binomial (which is a generalization of the geometric). Although, there would also be a "choose" factor as well

OpenStudy (kirbykirby):

There are \(x-1\) trials that are failures (so they show up with probability \(1-p\)), and the x-th trial is the success, which occurs with probability p

OpenStudy (anonymous):

Thanks :)

OpenStudy (kirbykirby):

your welcome =]

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