Who is most likely to have prevalent coronary heart disease?Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD. Patient Characteristic*History of CHD (n = 194)No History of CHD (n = 4240)p-value*Age, years57.48 (7.42)49.58 (8.57)<0.001Systolic blood pressure, mmHg145 (27.03)132.4 (22.03)<0.001Diastolic blood pressure, mmHg87.14 (14.33)82.9 (11.91)<0.001Total serum cholesterol, mg/dL241.2 (45.61)236.7 (44.59)0.0486Body mass index26.83 (4.45)25.8 (4.08)<0.001* Mean (Standard deviation). P-values are based on two independent samples t tests.

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Description: Who is most likely to have prevalent coronary heart disease?Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the tabl

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 7PPS

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Who is most likely to have prevalent coronary heart disease?

Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD.

Patient Characteristic*	History of CHD (n = 194)	No History of CHD (n = 4240)	p-value*
Age, years	57.48 (7.42)	49.58 (8.57)	<0.001
Systolic blood pressure, mmHg	145 (27.03)	132.4 (22.03)	<0.001
Diastolic blood pressure, mmHg	87.14 (14.33)	82.9 (11.91)	<0.001
Total serum cholesterol, mg/dL	241.2 (45.61)	236.7 (44.59)	0.0486
Body mass index	26.83 (4.45)	25.8 (4.08)	<0.001

* Mean (Standard deviation). P-values are based on two independent samples t tests.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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