Need help question's screenshot given
@ganeshie8 @UnkleRhaukus @zepdrix @paki
probability = (# of favorable outcomes )/( total # of outcomes)
start by finding the total number of outcomes in the sample space
\(A\) has \(n+1\) coins that means there are \(n+2\) possibilities for number of heads : {0,1,2,...,n+1} similarly for \(B\) there are \(n+1\) possibilities for number of heads together the sample space contains \((n+1)(n+2)\) different outcomes
fine so far ? :)
total number of outcomes of a is 2^n and for b is 2^n+1
am i right????
ohhh i understood but we need the sample space as the total outcome of n+1 and n coins, then y taking s as outcome of heads ???
nope, our event is "counting number of heads in a toss"
because later we are going to compare the heads count between A and B
ok i understand then should we use p(a>B)
kindof.. but its going to be simpler than that... we just count the number of favorable outcomes and take ratio
so do we agree that the total number of outcomes equal (n+2)(n+1) ?
yes
good, lets go ahead and find the outcomes in favor
we want A to have more heads than B
suppose A has 1 head, then B can have only 0 heads. yes ?
lets create a quick table
yes
number of heads in A toss | possible number of heads in B toss 1 | {0} : `1` way 2 | {0,1} : `2` ways 3 | {0,1,2} : `3` ways .... n+1 | {0, 1,2,...,n} : `n+1` ways
adding them up you get : 1 + 2 + 3 + ... + (n+1) thats the sum of first n+1 positive integers ?
that equals (n+1)(n+2)/2
so number of favorable outcomes = (n+1)(n+2)/2 take the ratio for the probability
then the ratio is p(a>b) = ((n+1)(n+2)/2)/(n+1)(n+2) =1/2
am i right ??/
Looks good!
thanks
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