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aedy temperatures of a group of healthy adults have a bell-shaped distribution with a mean of \( 98.29^{\circ} \mathrm{F} \) and a standard deviation of \( 0.58^{\circ} \mathrm{F} \). Using the empirical rule, find a. What is the approximate percentage of healthy adults with body temperatures within 1 standard deviation of the mean, or between \( 97.71^{\circ} \mathrm{F} \) and \( 98.87^{\circ} \mathrm{F} \) ? b. What is the approximate percentage of healthy adults with body temperatures between \( 97.13^{\circ} \mathrm{F} \) and \( 99.45^{\circ} \mathrm{F} \) ?

Ask by Cervantes Barker. in the United States
Jan 22,2025

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a. Approximately 68% of healthy adults have body temperatures between \( 97.71^{\circ} \mathrm{F} \) and \( 98.87^{\circ} \mathrm{F} \). b. Approximately 95% of healthy adults have body temperatures between \( 97.13^{\circ} \mathrm{F} \) and \( 99.45^{\circ} \mathrm{F} \).

Solution

To determine the approximate percentages of healthy adults with body temperatures within specific ranges, we'll use the **Empirical Rule** (also known as the 68-95-99.7 rule) for normally distributed data: 1. **Within 1 Standard Deviation (σ) of the Mean (μ):** Approximately **68%** of the data falls within this range. 2. **Within 2 Standard Deviations (2σ) of the Mean (μ):** Approximately **95%** of the data falls within this range. 3. **Within 3 Standard Deviations (3σ) of the Mean (μ):** Approximately **99.7%** of the data falls within this range. Given: - **Mean (μ):** \( 98.29^{\circ} \mathrm{F} \) - **Standard Deviation (σ):** \( 0.58^{\circ} \mathrm{F} \) ### a. **Within 1 Standard Deviation (\( \mu \pm \sigma \)):** - **Range:** \( 98.29^{\circ} \mathrm{F} \pm 0.58^{\circ} \mathrm{F} \) → **\( 97.71^{\circ} \mathrm{F} \) to \( 98.87^{\circ} \mathrm{F} \)** - **Approximate Percentage:** **68%** ### b. **Within 2 Standard Deviations (\( \mu \pm 2\sigma \)):** - **Range:** \( 98.29^{\circ} \mathrm{F} \pm 2 \times 0.58^{\circ} \mathrm{F} \) → **\( 97.13^{\circ} \mathrm{F} \) to \( 99.45^{\circ} \mathrm{F} \)** - **Approximate Percentage:** **95%** **Summary:** - **a. Approximately 68%** of healthy adults have body temperatures between \( 97.71^{\circ} \mathrm{F} \) and \( 98.87^{\circ} \mathrm{F} \). - **b. Approximately 95%** of healthy adults have body temperatures between \( 97.13^{\circ} \mathrm{F} \) and \( 99.45^{\circ} \mathrm{F} \). **Answer:** a. Approximately 68 % b. Approximately 95 %

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According to the empirical rule, about 68% of the data falls within one standard deviation of the mean in a normal distribution. Since the mean body temperature is \( 98.29^{\circ} \mathrm{F} \) and one standard deviation is \( 0.58^{\circ} \mathrm{F} \), this means approximately 68% of healthy adults have body temperatures between \( 97.71^{\circ} \mathrm{F} \) and \( 98.87^{\circ} \mathrm{F} \). When extending to two standard deviations, about 95% of the data falls within that range. Since \( 2 \times 0.58 = 1.16 \), the range from \( 97.13^{\circ} \mathrm{F} \) to \( 99.45^{\circ} \mathrm{F} \) encompasses two standard deviations from the mean. Thus, we can estimate that roughly 95% of healthy adults have body temperatures within this interval.

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