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\( X \) is a normally distributed random variable with mean 90 and standard deviation 21. What is the probability that \( X \) is between 9 and 50 ? Write your answer as a decimal rounded to the nearest thousandth.

Ask by Bush Martinez. in the United States
Jan 24,2025

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Answer

The probability that \( X \) is between 9 and 50 is **0.029**.

Solution

To find the probability that \( X \) is between 9 and 50, where \( X \) is normally distributed with a mean (\( \mu \)) of 90 and a standard deviation (\( \sigma \)) of 21, we can follow these steps: 1. **Standardize the Values:** Convert the values 9 and 50 to their corresponding \( z \)-scores using the formula: \[ z = \frac{X - \mu}{\sigma} \] - For \( X = 9 \): \[ z_1 = \frac{9 - 90}{21} = \frac{-81}{21} \approx -3.857 \] - For \( X = 50 \): \[ z_2 = \frac{50 - 90}{21} = \frac{-40}{21} \approx -1.905 \] 2. **Find the Corresponding Probabilities:** Using standard normal distribution tables or a calculator: - \( \Phi(z_2) \) for \( z_2 \approx -1.905 \) is approximately 0.0286. - \( \Phi(z_1) \) for \( z_1 \approx -3.857 \) is very close to 0 (specifically, about 0.000056). 3. **Calculate the Probability Between the Two \( z \)-scores:** \[ P(9 \leq X \leq 50) = \Phi(z_2) - \Phi(z_1) \approx 0.0286 - 0.000056 \approx 0.0285 \] 4. **Round to the Nearest Thousandth:** \[ 0.0285 \text{ rounded to the nearest thousandth is } 0.029 \] **Final Answer:** The probability is **0.029**.

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To find the probability that \( X \) is between 9 and 50 for a normally distributed random variable with a mean of 90 and a standard deviation of 21, we can use the Z-score formula: \[ Z = \frac{X - \mu}{\sigma} \] For \( X = 9 \): \[ Z_1 = \frac{9 - 90}{21} = \frac{-81}{21} \approx -3.857 \] For \( X = 50 \): \[ Z_2 = \frac{50 - 90}{21} = \frac{-40}{21} \approx -1.905 \] Now, we look up these Z-scores in the standard normal distribution table or use a calculator to find the probabilities. For \( Z_1 \approx -3.857 \), the probability \( P(Z < -3.857) \) is approximately 0.00006 (very close to 0). For \( Z_2 \approx -1.905 \), the probability \( P(Z < -1.905) \) is approximately 0.0287. To find the probability that \( X \) is between 9 and 50, we calculate: \[ P(9 < X < 50) = P(Z < -1.905) - P(Z < -3.857) \approx 0.0287 - 0 = 0.0287 \] Thus, the probability that \( X \) is between 9 and 50 is approximately **0.029** when rounded to the nearest thousandth.

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