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Measures of Central Tendency

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Natural Resource Biometrics July 19, 2000 oak.snr.missouri.edu/nr3110/<br />

<strong>Measures</strong> <strong>of</strong> Dispersion<br />

by David R. Larsen<br />

<strong>Measures</strong> <strong>of</strong> dispersion are used to describe the amount <strong>of</strong> scatter around the center <strong>of</strong> the distribution. They include<br />

range, mean deviation, variance, standard deviation, and coefficient <strong>of</strong> variation.<br />

Range<br />

This is simple the difference between the largest value and the smallest value.<br />

Mean deviation<br />

This is the mean absolute difference <strong>of</strong> each observation and averaged.<br />

dev<br />

n<br />

<br />

i<br />

x x<br />

i<br />

n<br />

1 <br />

Variance<br />

The formula for the populations is different that the formula for the sample.<br />

Population variance is calculated as follows:<br />

2<br />

<br />

n<br />

<br />

2<br />

xi<br />

<br />

i<br />

1 N<br />

Sample variance is estimated as follows:<br />

s<br />

2<br />

<br />

n<br />

<br />

i1<br />

<br />

n 1<br />

<br />

x x<br />

i<br />

2<br />

Computer Formulation<br />

This formulation is much easier to use when calculating variance on a computer or calculator.<br />

2<br />

<br />

n<br />

2<br />

<br />

x<br />

n i<br />

<br />

2 i<br />

x<br />

1 <br />

i<br />

<br />

i<br />

N<br />

1 N<br />

This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License. 1<br />

Author: Dr. David R. Larsen


Natural Resource Biometrics July 19, 2000 oak.snr.missouri.edu/nr3110/<br />

s<br />

2<br />

<br />

n<br />

<br />

i1<br />

x<br />

2<br />

i<br />

n<br />

<br />

<br />

x<br />

i1<br />

<br />

n<br />

n 1<br />

2<br />

<br />

<br />

<br />

i<br />

Standard Deviation<br />

The standard deviation is the square root <strong>of</strong> the variance. This statistics in the units <strong>of</strong> measurement. The population<br />

standard deviation can be calculated as follows:<br />

<br />

n<br />

<br />

i1<br />

x<br />

2<br />

i<br />

<br />

<br />

<br />

<br />

N<br />

n<br />

<br />

i1<br />

x<br />

N<br />

<br />

<br />

<br />

i<br />

2<br />

The sample standard deviation can be calculated as:<br />

s <br />

n<br />

<br />

i1<br />

x<br />

2<br />

i<br />

n<br />

<br />

<br />

x<br />

i1<br />

<br />

n<br />

n 1<br />

2<br />

<br />

<br />

<br />

i<br />

Coefficient <strong>of</strong> Variation<br />

Coefficient <strong>of</strong> variation is a relative measure <strong>of</strong> dispersion that removes the units from the statistic. It can be calculated<br />

as:<br />

Standard Error<br />

s<br />

s<br />

cv cv 100<br />

x<br />

x<br />

Because the variance on any sample will decrease with increasing n a method <strong>of</strong> comparing samples <strong>of</strong> different size<br />

is need. This is Standard Error for a sample and is given by:<br />

2<br />

s<br />

s x<br />

<br />

n<br />

This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License. 2<br />

Author: Dr. David R. Larsen


Natural Resource Biometrics July 19, 2000 oak.snr.missouri.edu/nr3110/<br />

Also See:<br />

Chapter 3-4, 3-5 Basic Statistical Concepts in:<br />

Husch, B., T. W. Beers, and J. A. Kershaw, Jr. 2003. Forest Mensuration. John Wiley and Sons, Inc. Hoboken, New<br />

Jersey. 443 pp. ISBN 0-471-01850-3<br />

Chapter 3 - Measure <strong>of</strong> Variability pages 35-46 in:<br />

Phillips, J. L. 2000. How to think about statistics. W. H. Freeman and Co. New York. 202 pp. ISBN 0-7167-3654-3<br />

Chapter 4 - Measure <strong>of</strong> Dispersion and Variability pages 27-32 in:<br />

Zar, J. H. 1984. Biostatistical Analysis. Prentice-Hall, Inc. Englewood Cliffs, New Jersey. 718 pp.<br />

This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License. 3<br />

Author: Dr. David R. Larsen

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