The systolic blood pressure of adults in the USA is nearly normally distributed with a mean of 118 millimeters of mercury (mmHg) and standard deviation of 19.Someone qualifies as having Stage 2 high blood pressure if their systolic blood pressure is 160 or higher. Stage 1 high BP is specified as systolic BP between 140 and 160.What is the probability that an adult in the USA has stage 2 high blood pressure?____________________What is the probability that an adult in the USA has stage 1 high blood pressure?____________________Your doctor tells you you are in the 30th percentile for blood pressure among US adults. What is your systolic BP?________________ mmHgWhat is the systolic blood pressure that cuts off the top 2.5% of adults in the USA? ____________________mmHg

Mean()=118standard deviation()=19Someone qualifies as having Stage 2 high blood pressure if their…

Answered: The systolic blood pressure of adults…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The systolic blood pressure of adults in the USA is nearly normally distributed with a mean of 118 millimeters of mercury (mmHg) and standard deviation of 19.

Someone qualifies as having Stage 2 high blood pressure if their systolic blood pressure is 160 or higher. Stage 1 high BP is specified as systolic BP between 140 and 160.

What is the probability that an adult in the USA has stage 2 high blood pressure?____________________
What is the probability that an adult in the USA has stage 1 high blood pressure?____________________
Your doctor tells you you are in the 30th percentile for blood pressure among US adults. What is your systolic BP?________________ mmHg
What is the systolic blood pressure that cuts off the top 2.5% of adults in the USA?
____________________mmHg

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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