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. 13*13*13 =2197
2. 2/5*2/5 = 4/25
3. 0.9*0.9 = 0.81
Answer:
Step-by-step explanation:
1
A. negative
B. symmetric
C. positive
2
A. less than
B. same
C. greater than
Answer:
1. 6 to the power of 8
2. 9765625
3. 2 to the power of 4
4. 1296
5. I do not know 5 sorry.
6. 117649
Step-by-step explanation:
I think the answer is 1 point