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You are given that there is a two stage process and the first stage has four possible outcomes which are values of x and they each have probabilities that are unknown. You are given that the probability of success in part two given X = x in part one is k/x where k is a constant. You are given that the intersection of success in part two and X=x is constant for all values of x. How do you work out the probability distribution?
Probability of success given X= x equals the intersection /p(X=x) so k/x = something which is constant/P(X=x) so k/x = V/P(X=x) now what i did was I did the sum of all of them so the sum of k/x = the sum of V/p(X=x). and the sum of k/x is k/1 because the probabilites of all the outcomes of the first part is 1 so k = the V/sum of all x values so then i got k in terms of V and then i subbed that into the equation and cancelled the V so i got 250//x = /P(X=x) and then you just sub in the values of x
How to give a probability distribution (2023)
just list it seems!
How to find the probability of the first success being after m trials from a binomial distribution of success of the successes in n trials
(probability of failure)(n-1)(probability of success)Given a normal model, sample where n have (X > a) and m have no data, what is the probability that none of the sample will have (X < b)
Given a normal model, sample where n have (X > a) and m have no data, what is the probability that none of the sample will have (X < b)
(1 - P(a<X<b)/P(x>a))to the power n x P(X>b)to the power m
Accuracy for probabilities (awrt)
3 s.f.
how to show that events are NOT independent
P(A)xP(B) = a DOES NOT EQUAL P(A intersection B) = b
How to find the probability {that an individual that has the feature x such that ( a < x < b )} is greater than q
P( q < x < b)/ P( a < x < b )
when you have information for a Venn diagram but you are only given information for two events and there may be more, but A has prob p and p is not 0 and B has prob 3P(a) then “find the possible values of P(B)'“
if no other events then 4p = 1 so
0<P(B)≤0.25
If you have the P(C|D) = 3P(C) explain whether or not C and D could be independent events
If independent P(C | D) = P(C) so C and D not
independent
If you have a binomial expansion of (p + (1-p))n what does each term represent?
The probability of r sucesses in n trials with the distribution B(n,p)
If you have a binomial expansion of (p + (1-p))n and if you have the terms with pr and pr+1 and you have the ratio of pr+1/pr “find the values of r for which pr+1>=pr
set the ratio as less than or equal to 1 and rearrange. DO NOT ROUND
If you have a binomial expansion of (p + (1-p))n and if you have the terms with pr and pr+1 and you have the ratio of pr+1/pr “find the values of r for which pr+1>=pr and you have found r is less than or equal to A what is it expected number of sucesses in n trials?
Its either the integar above or below A. because it is first integar such that the value or T before it would be less than it and the value of T after would be LESS than it. It could be either so you sub in each possible R into the fraction ratio and if its greater than 1 then it is that r, if less than 1 then its the other r