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Suppose you can somehow choose two people at random who took the SAT in 2010. Scores were normally distributed with a mean and standard deviation of 1509 and 312, respectively. What is the probability that both of them scored above 1450? Assume that the scores of the two test takers are independent. Show your work.

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Final answer:

To find the probability that both individuals scored above 1450 on the SAT, we calculated the z-score for a score of 1450 and used it to find the individual probability of scoring above 1450. Since the scores are independent, the joint probability is the square of the individual probability, which results in approximately 33%.

Step-by-step explanation:

To calculate the probability that both randomly chosen people scored above 1450 on the SAT, we first need to find the z-score for a score of 1450. We know the mean SAT score in 2010 was 1509 with a standard deviation of 312. The z-score can be calculated as follows:

Z = (X - μ) / σ

Where X is the SAT score, μ is the mean, and σ is the standard deviation.

Z = (1450 - 1509) / 312 ≈ -0.1889

Next, we use the standard normal distribution table to find the probability corresponding to the z-score. The probability for a z-score of -0.1889 is approximately 0.5744. This is the probability of one person scoring above 1450. Since we are looking for the probability that both people scored above 1450 and their scores are independent, we multiply the individual probabilities:

P(both > 1450) = P(one > 1450)^2

P(both > 1450) = 0.5744 × 0.5744 ≈ 0.3300

Therefore, the probability that both individuals scored above 1450 is approximately 0.33 or 33%.

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