solve
yes i have taken a look
2 groups... well trained in first aid, well trained in hospitality sample size of 2, let x = number of scouts who are wll trained in the sample. x = 0, 1 or 2 these are the only possible values of x.
i didnt get it
its a binomial distribution p = 30/50 = 0.6 mean = n*p = 2*.6 = 1.2
no its not
can u plse explain me a little bit @pgpilot326
the probabilities change... so it's not a binomial let F = those who are well trained in first aid let H = those who are well trained in hospitality P(1st selected is F) = 30/50 P(2nd selected is F| 1st selected is F) = 29/49 so these events are not independent which they would need to be in order to model using a binomial distribution. however it can be modelled by the hypergeometric distribution if f = # of well trained in first aid scouts and h = # of well trained in first aid scouts and we sample 2 then \[P \left( X=k \right)= \frac{ \left(\begin{matrix}30 \\ k\end{matrix}\right) \left(\begin{matrix}20 \\ 2-k\end{matrix}\right) }{ \left(\begin{matrix}50 \\ 2\end{matrix}\right) } \text{, where }k=\left\{ 0, 1, 2 \right\}\] X is hypergeometric. the equation above is the probability distribution. if you read the link than you should be able to identify which parameters are needed in order to find the expected value and variance. I have to go... good luck!
@Loser66 can u plse help me
@sirm3d
i would have said it like @pgpilot326 , but without mentioning the type of distribution
i know @pgpilot326 had done correct but i m not getting it i mean how i have to solve the following step
step to finding the mean?
plse see the attachment
\[\binom{n}{k}=\frac{n!}{k!(n-k)!}\] for instance, \[\binom{30}{1}=\frac{30!}{1!29!}=30\]
okay and i have to put k=0, 1, 2 ...... turn by turn , i have to solve for k
solve for P(x=k) for each instance of k
i didnt get this step
when k=0\[P(x=0)=\frac{\binom{30}{0}\binom{20}{2}}{\binom{50}{2}}=\frac{1\cdot190}{1225}=\frac{190}{1225}\]
okay till P(x=2) ,i have to calculte the values
right. as for the mean, \[mean=\sum_{\text{all }k}k\cdot P(x=k)\]
the mean is the same as @dumbcow gave, 1.2
@pgpilot326 @sirm3d thank you so much
yw
Join our real-time social learning platform and learn together with your friends!