Answer:
The probability that our guess is correct = 0.857.
Step-by-step explanation:
The given question is based on A Conditional Probability with Biased Coins.
Given data:
P(Head | A) = 0.1
P(Head | B) = 0.6
<u>By using Bayes' theorem:</u>

We know that P(B) = 0.5 = P(A), because coins A and B are equally likely to be picked.
Now,
P(Head) = P(A) × P(head | A) + P(B) × P(Head | B)
By putting the value, we get
P(Head) = 0.5 × 0.1 + 0.5 × 0.6
P(Head) = 0.35
Now put this value in
, we get



Similarly.

Hence, the probability that our guess is correct = 0.857.
Answer:
d
Step-by-step explanation:
Answer:
C
Step-by-step explanation:
The answer to this problem is 3 11/12.
1.8 3/4= 8 9/12
2.4 5/6 = 4 10/12
if you minus the two numbers, you get 3 11/12.
-(7+8/100)
= -(7+4/50)
= -(7+2/25)
= -177/25
Answer:
The probability of a car being selected will be given by :the number of car required/ the total number of cars
Step-by-step explanation:
Probability is the likelihood of an event occurring.
This is given by : number of required outcome/number of possible outcome