Asthma: Data were obtained through a study that examined the responses to ozone and sulfur dioxide among adolescents suffering from asthma. The following are measurements of forced expiratory volume (liters, L.) for ten subjects.Data (L.): 3.50 2.60 2.75 2.82 4.05 2.25 2.68 3.00 4.02 2.85 Determine the mean and standard deviation for these data. Mean: ________ Dev: ________ How many standard deviations away from the mean is the value of 4.02 liters? ____________ What value would separate the top 10% of expiratory volume values from the rest of the data? ___________

Name: Asthma: Data were obtained through a study that examined the responses
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Description: Asthma: Data were obtained through a study that examined the responses to ozone and sulfur dioxide among adolescents suffering from asthma. The following are measurements of forced expiratory volume (liters, L.) for ten subjects.Data (L.): 3.50

Here, n = 10 Calculate the mean.

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Asthma: Data were obtained through a study that examined the responses to ozone and sulfur dioxide among adolescents suffering from asthma. The following are measurements of forced expiratory volume (liters, L.) for ten subjects.
Data (L.): 3.50 2.60 2.75 2.82 4.05 2.25 2.68 3.00 4.02 2.85

Determine the mean and standard deviation for these data. Mean: ________ Dev: ________

How many standard deviations away from the mean is the value of 4.02 liters? ____________

What value would separate the top 10% of expiratory volume values from the rest of the data? ___________

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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