Systolic Blood Pressures Systolic blood pressures are approximately Normal with a mean of 120 and a standard deviation of 8. a. What percentage of people have a systolic blood pressure above 130? b. What is the range of systolic blood pressures for the middle 60% of the population? c. What percentage of people have a systolic blood pressure between 120 and 130? d. Suppose people with systolic blood pressures in the top 15% of the population have their blood pressures monitored more closely by health care professionals. What blood pressure would qualify a person for this additional monitoring?
Systolic Blood Pressures Systolic blood pressures are approximately Normal with a mean of 120 and a standard deviation of 8. a. What percentage of people have a systolic blood pressure above 130? b. What is the range of systolic blood pressures for the middle 60% of the population? c. What percentage of people have a systolic blood pressure between 120 and 130? d. Suppose people with systolic blood pressures in the top 15% of the population have their blood pressures monitored more closely by health care professionals. What blood pressure would qualify a person for this additional monitoring?
Solution Summary: The author calculates the systolic blood pressure by using the normal table given in Appendix A.
Systolic Blood Pressures Systolic blood pressures are approximately Normal with a mean of 120 and a standard deviation of 8.
a. What percentage of people have a systolic blood pressure above 130?
b. What is the range of systolic blood pressures for the middle 60% of the population?
c. What percentage of people have a systolic blood pressure between 120 and 130?
d. Suppose people with systolic blood pressures in the top 15% of the population have their blood pressures monitored more closely by health care professionals. What blood pressure would qualify a person for this additional monitoring?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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