The claim is : Let S be a well defined sample space where E and F are events such that
Pr(E) >1/2 implies Pr(F)<1/2
I have no background on proving probability theory. help please!!
Of course that statement is false as written.
Consider tossing a single die.
Let E be the die shows at least three.
Let F be the die shows at most five.
$\displaystyle P(E)=\frac{4}{6}~\&~P(F)=\frac{5}{6}$.
Both are more than $\displaystyle \frac{1}{2}$.
Perhaps you misread the question or you left some bit of information out.
What would be the outcome if i had the same claim as above but in addition E and F are mutually exclusive ? i.e. prove or disprove- Let S be a well defined sample space where E and F are events such that E and F are mutually exclusive. Pr(E)>1/2 implies Pr(F)< 1/2
Pertaining to my first claim to prove or disprove: Let S be a well defined sample space where E and F are events such that
Pr(E) >1/2 implies Pr(F)<1/2
I don't know if this is right so maybe so can critique... As a counter example i said: Let S={1,2,3,4,5,6}. Let E={1,2,3,4} and Let F={1,2,3,4}. Then, the Pr(E)= 2/3 and the Pr(F)=2/3 which is >1/2 thus we have an implication with a true hypothesis and false conclusion which makes the implication false so it follows that the claim is also false. E.E.F