Natural Resource Biometrics
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This page is the general description of the course and suggested expectations for both the student and the expectations of the teacher.
Types of Error
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Type I error or alpha error
- A type I error or alpha error is when the the null hypothesis is rejected when it is true.
- The probability of commiting a type I error is called the "level of significance" for a test and is often refered to as the alpha.
Type II error or beta error
- A type II error or beta error is when the the null hypothesis is accepted when it is false.
Table 1 illustrates the conditions when each type of error occurs.
| If H0 is true | If H0 is false | |
| If H0 is rejected | Type I error | No error |
| If H0 is not rejected | No error | Type II error |
Also See:
Chapter 10 - More on the Testing of Hypotheses pages 174 in:
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Phillips, J. L. 2000. How to think about statistics. W. H. Freeman and Co. New York. 202 pp. ISBN 0-7167-3654-3
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Zar, J. H. 1999. Biostatistical Analysis. Prentice-Hall, Inc. Englewood Cliffs, New Jersey. 718 pp.
Chapter 6 - Introduction to statistical Hypothesis Testing pages 82-83 in:
Created: November 30, 2001 by David R. Larsen
Last Updated: November 30, 2001
Last Updated: November 30, 2001