Correct Answer - `4.0.784`
Here `P(A)=0.4and P(barA)=0.6` Probability that A does not happen at all is `(0.6)^(3).` Thus, required probability is `1-(0.6)^(3)=0.784.`
we know that, in a Binomial distribution,
(i) There are 2 outcomes for each trial.
(ii) There is a fixed number of trials.
(iii) The probability of succes must be...
Correct Answer - A::C
Let `p_(1), p_(2)` be the chances of happening of the first and second events, respectively. Then according to the given conditions, we have
`p_(1) = p_(2)^(2)`
and...
We have,
`P(AnnB)=1/8and P(barAnnbarB)=3/8`
`thereforeP(A)P(B)=1/8and P(barA)P(barB)=3/8`
`" "[therefore"A and B are independent"]`
Now, `P(barAnnbarB)=3/8`
`implies1-P(AnnB)=3/8`
`or 1-(P(A)+P(B)-P(AnnB))=3/8`
`or1-(P(A)+P(B))+1/8=3/8`
`orP(A)+P(B)=3/4`
The equation whose roots are P(A) and P(B) is `x^(2)-x{P(A)+P(B)}+P(A)P(B)=0`
`or...
Let p be its probability of success and q be the failure. Then p =2q. Also, p+q=1. It gives `p=2//3and q=1//3.`
P {4 successes in 6 trials} `=""^(6)C_(4)p^(4)q^(2)`
`=""^(6)C_(4)((2)/(3))^(4)((1)/(3))^(2)" "(1)`...
Correct Answer - A
We are given that
`P(AnnB)=P(A)P(B)`
`P(BnnC)=P(B)P(C)`
`P(CnnA)=P(C)P(A)`
`P(AnnBnnC)=P(A)(B)P(C)`
We have, `P(Avv(BnnC)=P(A)(B)P(C)=P(A)P(B)P(C)=P(A)P(BnnC)`
`impliesA and BnnC` are independent
Therefore, `S_(2)` is true. Also,
`P[(Ann(BuuC)]=P[(AnnB)uu(AnnB)nn(AnnC)]`
`=P(AnnB)+P(AnnC)-P(AnnBnnC)`
`=P(A)P(B)+P(A)P(C)-P(A)P(B)P(C)`
`P(A)[P(B)+P(C)-P(B)P(C)]`
`P(A)[P(B)+P(C)-P(BnnC)]`
`=P(A)P(BnnC)`