3. The population of male industrial workers in London who have never experienced a major coro- nary event has mean systolic blood pressure 136 mm Hg and mean diastolic blood pressure 84 mm Hg. You might be interested in determining whether these values are the same as those for the popula- tion of industrial workers who have suffered a coronary event. (a) A sample of 86 workers who have experienced a major coronary event has mean systolic blood pressure xs hypothesis that the mean systolic blood pressure for the population of industrial workers who have experienced such an event is identical to the mean for the workers who have not, = 143 mm Hg and standard deviation s, = 24.4 mm Hg. Test the null using a two-sided test at the a = 0.10 level. (b) The same sample of men has mean diastolic blood pressure i = 87 mm Hg and standard deviation s = 16.0 mm Hg. Test the null hypothesis that the mean diastolic blood pressure for the population of workers who have experienced a major coronary event is identical to the mean for the workers who have not. (c) How do the two groups of workers compare?

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---

**Study on Blood Pressure Among Industrial Workers**

3. The population of male industrial workers in London who have never experienced a major coronary event has a mean systolic blood pressure of 136 mm Hg and a mean diastolic blood pressure of 84 mm Hg. It might be of interest to determine whether these values differ from those for the population of industrial workers who have suffered a coronary event.

(a) A sample of 86 workers who have experienced a major coronary event has a mean systolic blood pressure \( \bar{x}_s = 143 \) mm Hg and a standard deviation \( s_s = 24.4 \) mm Hg. Test the null hypothesis that the mean systolic blood pressure for the population of industrial workers who have experienced such an event is identical to the mean for the workers who have not, using a two-sided test at the \( \alpha = 0.10 \) level.

(b) The same sample of men has a mean diastolic blood pressure \( \bar{x}_d = 87 \) mm Hg and a standard deviation \( s_d = 16.0 \) mm Hg. Test the null hypothesis that the mean diastolic blood pressure for the population of workers who have experienced a major coronary event is identical to the mean for the workers who have not.

(c) How do the two groups of workers compare?

--- 

This text is intended for use in exploring statistical analysis of health data among different populations of industrial workers.
Transcribed Image Text:Certainly! Below is the transcribed text suitable for an educational website: --- **Study on Blood Pressure Among Industrial Workers** 3. The population of male industrial workers in London who have never experienced a major coronary event has a mean systolic blood pressure of 136 mm Hg and a mean diastolic blood pressure of 84 mm Hg. It might be of interest to determine whether these values differ from those for the population of industrial workers who have suffered a coronary event. (a) A sample of 86 workers who have experienced a major coronary event has a mean systolic blood pressure \( \bar{x}_s = 143 \) mm Hg and a standard deviation \( s_s = 24.4 \) mm Hg. Test the null hypothesis that the mean systolic blood pressure for the population of industrial workers who have experienced such an event is identical to the mean for the workers who have not, using a two-sided test at the \( \alpha = 0.10 \) level. (b) The same sample of men has a mean diastolic blood pressure \( \bar{x}_d = 87 \) mm Hg and a standard deviation \( s_d = 16.0 \) mm Hg. Test the null hypothesis that the mean diastolic blood pressure for the population of workers who have experienced a major coronary event is identical to the mean for the workers who have not. (c) How do the two groups of workers compare? --- This text is intended for use in exploring statistical analysis of health data among different populations of industrial workers.
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