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 \( 99.45^{\circ} \mathrm{F} \) ?
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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.