Sovi.AI - AI Math Tutor

Scan to solve math questions

QUESTION IMAGE

this table gives approximate probabilities for scoring 0, 1, 2, 3, or 4…

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:
question help: written example message instructor submit question

Explanation:

Step1: Compute the sum of probabilities

The sum of probabilities in a probability distribution must be \(1\). We check if \(0.7+0.14 + 0.09+0.04+0.03=1\).

$$0.7+0.14+0.09+0.04+0.03=(0.7 + 0.14)+(0.09+0.04 + 0.03)=0.84+(0.16)=1$$

Step2: Compute the mean \(\mu\)

The formula for the mean of a discrete probability distribution is \(\mu=\sum_{x}xP(x)\).

$$ LATEXBLOCK0 $$

Step3: Compute the variance \(\sigma^{2}\)

The formula for the variance is \(\sigma^{2}=\sum_{x}(x-\mu)^{2}P(x)\)

$$ LATEXBLOCK1 $$
$$ LATEXBLOCK2 $$

Step4: Compute the standard deviation \(\sigma\)

The standard deviation \(\sigma=\sqrt{\sigma^{2}}\). Since \(\sigma^{2} = 1.0264\), then \(\sigma=\sqrt{1.0264}\approx1.01\)

Answer:

The sum of probabilities is \(1\), the mean is \(0.56\), and the standard deviation is \(1.01\)