#aqa further stats
38 messages · Page 1 of 1 (latest)
Have you considered ig modelling it like a poissoin distribuition and using your knowledge of that figuring out the corresponding Variance and Mean
this is the mark scheme
i dont really understand it
i kind of get it now
@frank snow can you help me with this
how do you got from 3rd line to 4th
Im out rn but ill respond when i get home for sure
Okk
Ahh ok so it modelled it as a uniform distribuition and then using the formula to calculate variance and expectation
This comes from the fact that no events happening in t would be e^-6t. Are you confused as to why this is the case?
ye
why does no events happening imply that its e^-6t
like i understand if you had the probablility density function 6e^-6x
and you integrated it to get the cumulative probability function youd get 1-e^-6t
but they didnt do that
what relevance does the P(no events in t) have
1-P(no events in t) = P(T<t)
ye
Im not too sure tbh i thought the distribuition is Poissoin but im either wrong or cant remember how to manipulate stuff
It could be something to do with the integral between certain bound being equal to 1
obtw i figued it out
P(no events) = P(X=0)
since its defined as a possion distribution at the start
x=0 in that
e^-6t
oh shit
the ms doesnt really go into the possion bit
but its from here
Ohh fair i thought it was poissoin related just havent done enough revision off this topic in while. Nice Q tho made me realise i need to revise