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\( X \) is a normally distributed random variable with mean 77 and standard deviation 9 . What is the probability that \( X \) is between 20 and 66 ? Write your answer as a decimal rounded to the nearest thousandth.

Ask by Weaver Chandler. in the United States
Jan 24,2025

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Answer

The probability that \( X \) is between 20 and 66 is approximately **0.111**.

Solution

To find the probability that \( X \) is between 20 and 66 for a normally distributed random variable \( X \) with a mean (\( \mu \)) of 77 and a standard deviation (\( \sigma \)) of 9, follow these steps: 1. **Standardize the Values:** Convert the values 20 and 66 to their corresponding \( z \)-scores using the formula: \[ z = \frac{X - \mu}{\sigma} \] - For \( X = 20 \): \[ z_1 = \frac{20 - 77}{9} = \frac{-57}{9} = -6.333 \] - For \( X = 66 \): \[ z_2 = \frac{66 - 77}{9} = \frac{-11}{9} \approx -1.222 \] 2. **Determine the Probability:** The probability \( P(20 \leq X \leq 66) \) is equivalent to \( P(z_1 \leq Z \leq z_2) \) in the standard normal distribution. - Since \( z_1 = -6.333 \) is far in the lower tail, \( \Phi(z_1) \) is practically 0. - Therefore, \( P(20 \leq X \leq 66) \approx \Phi(z_2) \). 3. **Look Up the Standard Normal CDF:** Using standard normal distribution tables or a calculator: \[ \Phi(-1.222) \approx 0.111 \] This means there's approximately an 11.1% chance that \( X \) falls between 20 and 66. **Final Answer:** The probability is approximately **0.111**.

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To find the probability that \( X \) is between 20 and 66 for a normally distributed random variable, we first standardize these values using the Z-score formula: \[ Z = \frac{(X - \mu)}{\sigma} \] where \( \mu = 77 \) (mean) and \( \sigma = 9 \) (standard deviation). First, we calculate the Z-scores for 20 and 66: For \( X = 20 \): \[ Z_{20} = \frac{(20 - 77)}{9} = \frac{-57}{9} \approx -6.33 \] For \( X = 66 \): \[ Z_{66} = \frac{(66 - 77)}{9} = \frac{-11}{9} \approx -1.22 \] Now, we use the Z-table (or a calculator) to find the probabilities associated with these Z-scores. The probability corresponding to \( Z = -6.33 \) is virtually 0 since it's extremely far in the left tail of the normal distribution. The probability corresponding to \( Z = -1.22 \) is approximately 0.1103. Now we find the probability that \( X \) is between 20 and 66: \[ P(20 < X < 66) = P(Z < -1.22) - P(Z < -6.33) \approx 0.1103 - 0 \approx 0.1103 \] Thus, the probability that \( X \) is between 20 and 66 is approximately \( \boxed{0.110} \) when rounded to the nearest thousandth.

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