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\( X \) is a normally distributed random variable with mean 50 and standard deviation 21 . What is the probability that \( X \) is between 29 and 92 ? Use the \( 0.68-0.95-0.997 \) rule and write your answer as a decimal. Round to the nearest thousandth if necessary.

Ask by Phillips Dawson. in the United States
Jan 24,2025

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Answer

The probability that \( X \) is between 29 and 92 is approximately **0.816**.

Solution

To determine the probability that \( X \) is between 29 and 92 using the \( 0.68-0.95-0.997 \) (68-95-99.7) rule, follow these steps: 1. **Identify the Mean and Standard Deviation:** - Mean (\( \mu \)) = 50 - Standard Deviation (\( \sigma \)) = 21 2. **Calculate the Z-scores:** - For \( X = 29 \): \[ Z_1 = \frac{29 - 50}{21} = -1 \] - For \( X = 92 \): \[ Z_2 = \frac{92 - 50}{21} = 2 \] 3. **Apply the Empirical Rule:** - The 68-95-99.7 rule states: - Approximately **68%** of the data falls within \( \pm 1\sigma \) of the mean. - Approximately **95%** falls within \( \pm 2\sigma \). - Since we're looking for the probability between \( -1\sigma \) and \( +2\sigma \): - **From \( -1\sigma \) to \( +1\sigma \)**: 68% - **From \( +1\sigma \) to \( +2\sigma \)**: Half of the remaining 27% (since 95% within \( \pm 2\sigma \)), which is 13.5% - **Total Probability:** \[ 68\% + 13.5\% = 81.5\% \] 4. **Express as a Decimal:** \[ 81.5\% = 0.815 \] Rounding to the nearest thousandth gives **0.816**. **Final Answer:** The probability is approximately **0.816**.

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To determine the probability that \( X \) is between 29 and 92, we will first find how many standard deviations away from the mean these values are. 1. For \( X = 29 \): \[ Z = \frac{X - \text{mean}}{\text{standard deviation}} = \frac{29 - 50}{21} \approx -1.00 \] 2. For \( X = 92 \): \[ Z = \frac{92 - 50}{21} \approx 2.00 \] According to the \( 0.68-0.95-0.997 \) rule, we can summarize the probabilities associated with these Z-scores. A Z-score of -1 corresponds to approximately 34% of the area to the left of the mean (for the mean to -1) and a Z-score of 2 corresponds to about 97.5% (from the mean to +2). To find the probability that \( X \) is between 29 and 92, we calculate: \[ P(29 < X < 92) \approx P(Z < 2) - P(Z < -1) \approx 0.975 - 0.1587 \approx 0.8163 \] So the probability that \( X \) is between 29 and 92 is approximately **0.816** after rounding to the nearest thousandth.

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