Answer:
(c) is m=1 i am working on the other ones
let sonia has the (x)
Sandeep would have twice as much as Sonia so (2x)
together they'd have 150.
so, x+2x=150
solve for X
3x=150
X=150/3
So x=50 is what Sonia has,
and Sandeep would have 2(50) =100
Answer:
Required Probability = 0.605
Step-by-step explanation:
Let Probability of people actually having predisposition, P(PD) = 0.03
Probability of people not having predisposition, P(PD') = 1 - 0.03 = 0.97
Let PR = event that result are positive
Probability that the test is positive when a person actually has the predisposition, P(PR/PD) = 0.99
Probability that the test is positive when a person actually does not have the predisposition, P(PR/PD') = 1 - 0.98 = 0.02
So, probability that a randomly selected person who tests positive for the predisposition by the test actually has the predisposition = P(PD/PR)
Using Bayes' Theorem to calculate above probability;
P(PD/PR) =
=
=
= 0.605 .
Answer:
20kph
Step-by-step explanation:
10 * 2 = 20