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Suppose it is known that 10 percent of a certain population has an eye disease. If a random sample of 25 people is drawn from this population, use the binomial table to find the probability that five or fewer will have that eye disease. That probability according to the binomial table is:

A. 0.9020
B. 0.9905
C. 0.9666
D. 0.7636

User Sneeu
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Final answer:

The probability that five or fewer people will have the eye disease in a random sample of 25 people is approximately 0.9020.

Step-by-step explanation:

To find the probability that five or fewer people will have the eye disease in a random sample of 25 people, we can use the binomial distribution. The formula for the binomial distribution is P(X ≤ k) = ∑(from x=0 to k) of (nCx * p^x * q^(n-x)), where n is the number of trials, p is the probability of success, q is the probability of failure (1-p), and k is the number of successes we are interested in.

In this case, n=25, p=0.10, and q=0.90. We want to find P(X ≤ 5), so k=5. Plugging these values into the formula, we get P(X ≤ 5) = ∑(from x=0 to 5) of (25Cx * (0.10)^x * (0.90)^(25-x)).

Using the binomial table or a calculator, we find that P(X ≤ 5) is approximately 0.9020.

User Nick Rolando
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