the probaility of a pitcher pitching in the strike zone is 95%. what is the probability that the pitcher will get at least 2 balls in the strike zone in the next 3 pitches?
1-(0.95x0.05x0.05 + 0.05^3) ?
0.95^2x0.05 + 0.95^3?
\[P(2inStrikeZone)=\left(\begin{matrix}3 \\ 2\end{matrix}\right)\times (0.95)^{2}\times (1-0.95)=3\times (0.95)^{2}\times 0.05\]
thats 0.135 how can that be right..
bhi
\[P(1inStrikeZone)=\left(\begin{matrix}3 \\ 1\end{matrix}\right)\times 0.95\times (0.05)^{2}=0.007125\] \[P(0inStrikeZone)=\left(\begin{matrix}3 \\ 0\end{matrix}\right)\times 0.95^{0}\times (0.05)^{3}=0.000125\] P(2) + P(1) + P(0) = P(up to 2 in strike zone) = 0.135375 + 0.007125 + 0.000125 = 0.142625 \[P(3inStrikeZone)=\left(\begin{matrix}3 \\ 3\end{matrix}\right)\times (0.95)^{3}=0.857375\]
Note that the highest probability is of getting 3 in the strike zone (0.857375). If the probability of getting up to 2 in the strike zone (0.142625 is added to the probability of getting 3 in the strike zone (0.857375) the result is exactly 1, confirming the validity of the calculations.
@powerangers69 Do you understand the explanation?
is 3 1 3c1?
i no understand
I used the binomial distribution to solve this problem. Do you know how to use the binomial distribution?
nope sorry
can do without binomail distr?
Yes, this problem can be solved very easily. The probability of getting all 3 of the next three balls in the strike zone is: \[0.95\times 0.95\times 0.95=0.857375\] All the possible outcomes of the next 3 balls getting in the strike zone are: 0 balls, 1 ball, 2 balls and 3 balls. P(0) + P(1) + P(2) + P(3) = 1 We already found that P(3) = 0.857375, therefore P(0) + P(1) + P(2) = 1 - P(3) = 1 - 0.857375 = 0.142625
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