High blood pressure has been identified as a risk factor for heart attacks and strokes. The proportion of U.S. adults with high blood pressure is 0.40. A sample of 41 U.S. adults is chosen. Use Cumulative Normal Distribution Table as needed. Round your answers to at least four decimal places if necessary. (a) Is it appropriate to use the normal approximation to find the probability that more than 44% of the people in the samplehave high blood pressure?It isappropriate to use the normal curve, since npV 10 andп (1 — р)10.Part: 1/ 6Part 2 of 6Find the probability that more than 44% of the people in the sample have high blood pressure.The probability that more than 44% of the people in the sample have high blood pressureisPart: 2 / 6Part 3 of 6(b) A new sample of 65 adults is drawn. Find the probability that more than 38% of the people in this sample have highblood pressure.The probability that more than 38% of the people in the sample have high blood pressureisAIAI (c) Find the probability that the proportion of individuals in the sample of 65 who have high blood pressure is between 0.23and 0.35.The probability that the proportion of individuals in the sample of 65 who have high bloodpressure is between 0.23 and 0.35 isPart: 4 / 6Partof 6(d) Find the probability that less than 24% of the people in the sample of 65 have high blood pressure.The probability that less than 24% of the people in the sample of 65 have high bloodpressure isPart: 5 / 6Part 6 of 6(e) Would it be unusual if more than 39% of the individuals in the sample of 65 had high blood pressure?It (Choose one) ▼ be unusual if more than 39% of the individuals in the sample of 65 hadhigh blood pressure, since the probability is

Given that, The Sample size is 41 i.e., n=41 The proportion of U.S. adults with high blood pressure…

Answered: High blood pressure has been identified…

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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High blood pressure has been identified as a risk factor for heart attacks and strokes. The proportion of U.S. adults with high blood pressure is 0.40. A sample of 41 U.S. adults is chosen. Use Cumulative Normal Distribution Table as needed. Round your answers to at least four decimal places if necessary.

(a) Is it appropriate to use the normal approximation to find the probability that more than 44% of the people in the sample
have high blood pressure?
It is
appropriate to use the normal curve, since np
V 10 and
п (1 — р)
10.
Part: 1/ 6
Part 2 of 6
Find the probability that more than 44% of the people in the sample have high blood pressure.
The probability that more than 44% of the people in the sample have high blood pressure
is
Part: 2 / 6
Part 3 of 6
(b) A new sample of 65 adults is drawn. Find the probability that more than 38% of the people in this sample have high
blood pressure.
The probability that more than 38% of the people in the sample have high blood pressure
is
AI
AI

(c) Find the probability that the proportion of individuals in the sample of 65 who have high blood pressure is between 0.23
and 0.35.
The probability that the proportion of individuals in the sample of 65 who have high blood
pressure is between 0.23 and 0.35 is
Part: 4 / 6
Part
of 6
(d) Find the probability that less than 24% of the people in the sample of 65 have high blood pressure.
The probability that less than 24% of the people in the sample of 65 have high blood
pressure is
Part: 5 / 6
Part 6 of 6
(e) Would it be unusual if more than 39% of the individuals in the sample of 65 had high blood pressure?
It (Choose one) ▼ be unusual if more than 39% of the individuals in the sample of 65 had
high blood pressure, since the probability is

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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