Refer to the accompanying data set and construct a \( 90 \% \) confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results. Pof 1 of 3 Click the icon to view the pulse rates for adult females and adult males. Construct a \( 90 \% \) confidence interval of the mean pulse rate for adult females bpm \( <\mu<\square \) bpm (Round to one decimal place as needed)
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To construct a 90% confidence interval for the mean pulse rate of adult females, you'll first need the sample mean (\( \bar{x} \)) and the standard deviation (s) for adult females, as well as the sample size (n). The confidence interval can be calculated using the formula: \[ \bar{x} \pm z \cdot \frac{s}{\sqrt{n}} \] Here, \( z \) is the z-score corresponding to a 90% confidence level, which is approximately 1.645. After plugging in the values, you would round to one decimal place. For adult males, follow the same method—find the mean, standard deviation, and sample size, then apply the formula above with the appropriate data. After calculating both intervals, you can compare them by looking at the range each interval covers. This will provide insights into any differences between the mean pulse rates of adult females and males. If you provide the data set, I can help you with specific calculations!
