Please help with binomial distribution question. How did they arrive at these answers? The questions are attached.
still working on this ?
Yes I am
for part a) I thought it would be \[\left(\begin{matrix}4 \\ 1\end{matrix}\right) * 0.7 * 0.3^3\]
but it is not, it is actually 0.7* 0.3^3
Sorry i meant 0.8 and 0.2...
These look like geometric distribution problems, not binomial. The geometric distribution looks at the number of trials until the 1st success occurs.
that means i have can 4 trials
Yes. And for the geometric distribution, we have that if X is the number of trials until the 1st success, then \[P(X=x)=(1-p)^{x-1}p, ~~~\text{for }x=1,2,3,... \]
wouldn't p be raised so an exponent?
it remains at one because of one successful event?
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
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
Thanks :)
your welcome =]
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