Answer:
look it up in a new tab that should help
Step-by-step explanation:
have a good day
Sounds like a Bayes Theorem problem.
Events:
F: Roger makes his first serve. We'll write ~F for "not F".
P(F) = .63
P(~F) = 1 - .63 = .37
W: Roger wins the point. We don't know P(W) but we are given
P(W | F) = .78
P(W | ~F) = .57
We're asked for
P(~F | W)
The basic conditional probability theorem is
P(~F and W) = P(~F | W) P(W) = P(W | ~F) P(~F)
P(~F | W) = ( P(W | ~F) P(~F) ) / P(W)
We write
P(W) = P(W | F) P(F) + P(W | ~F) P(~F)
Substituting gives Bayes' Theorem:
P(~F | W) = ( P(W | ~F) P(~F) ) / ( P(W | F) P(F) + P(W | ~F) P(~F) )
We know all the parts so we substitute,
P(~F|W) = ( .57(.37) ) / (.78(.63) + .57(.37) ) = 0.30029901751388294
Let's call that 30%
Answer: 30%
<h2>I think the answer is "7"</h2>
Step-by-step explanation:
have a nice day:)
Answer:
B. 38%
Explanation:
Given parameters:
Number of hits = 5hit
Total hits = 13
Unknown:
Percentage of hits shed made = ?
Solution;
The percentage of hit made = x 100
input the parameters and solve;
Percentage of hit made =
Percentage of hit = 38%
Percentage of hit = 38%