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Question
this table gives approximate probabilities for scoring 0, 1, 2, 3, or 4 runs in one inning of major league baseball. (although it is possible to score more than 4 runs in one inning, the probability is very small, so it is ignored in this question.)
round all answers to 2 decimal places.
compute the sum of these probabilities:
compute the mean number of runs/inning, using this probability distribution:
compute the standard deviation of this probability distribution:
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Step1: Compute the sum of probabilities
The sum of probabilities in a probability distribution must be \(1\). We check if \(0.7+0.14 + 0.09+0.04+0.03=1\).
Step2: Compute the mean \(\mu\)
The formula for the mean of a discrete probability distribution is \(\mu=\sum_{x}xP(x)\).
Step3: Compute the variance \(\sigma^{2}\)
The formula for the variance is \(\sigma^{2}=\sum_{x}(x-\mu)^{2}P(x)\)
Step4: Compute the standard deviation \(\sigma\)
The standard deviation \(\sigma=\sqrt{\sigma^{2}}\). Since \(\sigma^{2} = 1.0264\), then \(\sigma=\sqrt{1.0264}\approx1.01\)
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The sum of probabilities is \(1\), the mean is \(0.56\), and the standard deviation is \(1.01\)