Compare risk factors in men and women.Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences.Patient Characteristic*Men (n = 1944)Women (n = 2490)Age, years49.79 (8.72)50.03 (8.64)Systolic blood pressure, mmHg131.74 (19.44)133.82 (24.46)Hypertension1404 (31.66)1848 (74.22)Use of anti-hypertensive medication42 (2.16)102 (4.10)Current smoker1175 (60.44)1006 (40.40)Total serum cholesterol, mg/dL233.58 (42.36)239.68 (46.22)Serum Glucose82.32 (24.72)82.07 (24.14)Stroke193 (9.93)222 (8.92)* Mean (Standard deviation) or n (%)

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Description: Compare risk factors in men and women.Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences.Patient Characteristic*Men (n

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Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.1: Stem-and-leaf Plots And Histograms

Problem 2E

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Compare risk factors in men and women.

Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences.

Patient Characteristic*	Men (n = 1944)	Women (n = 2490)
Age, years	49.79 (8.72)	50.03 (8.64)
Systolic blood pressure, mmHg	131.74 (19.44)	133.82 (24.46)
Hypertension	1404 (31.66)	1848 (74.22)
Use of anti-hypertensive medication	42 (2.16)	102 (4.10)
Current smoker	1175 (60.44)	1006 (40.40)
Total serum cholesterol, mg/dL	233.58 (42.36)	239.68 (46.22)
Serum Glucose	82.32 (24.72)	82.07 (24.14)
Stroke	193 (9.93)	222 (8.92)

* Mean (Standard deviation) or n (%)

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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