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.
1. A
2. L
3. Q
4. P
5. X
6. H
7. (-4,1)
8.(1,4)
9.(-4,-3)
10.(0,-4)
11. (-2,-1)
12. (5,-4)
The answer that you should get 35as^2-30s
I thinkkkkk that you have to see what 2 #'s equal 7??
Answer:
Use m athway
Step-by-step explanation: