ASTM E 1847 : 1996 : R2013
Current
The latest, up-to-date edition.
Standard Practice for Statistical Analysis of Toxicity Tests Conducted Under ASTM Guidelines (Withdrawn 2022)
Hardcopy , PDF
English
25-03-2013
Important note : All end users must be registered with an Account prior to user licenses being assigned.CONTAINED IN VOL. 11.06, 2015 Defines guidance for the statistical analysis of laboratory data on the toxicity of chemicals or mixtures of chemicals to aquatic or terrestrial plants and animals.
| Committee |
E 50
|
| DocumentType |
Standard Practice
|
| Pages |
10
|
| ProductNote |
Reconfirmed 2013
|
| PublisherName |
American Society for Testing and Materials
|
| Status |
Current
|
| Supersedes |
1.1This practice covers guidance for the statistical analysis of laboratory data on the toxicity of chemicals or mixtures of chemicals to aquatic or terrestrial plants and animals. This practice applies only to the analysis of the data, after the test has been completed. All design concerns, such as the statement of the null hypothesis and its alternative, the choice of alpha and beta risks, the identification of experimental units, possible pseudo replication, randomization techniques, and the execution of the test are beyond the scope of this practice. This practice is not a textbook, nor does it replace consultation with a statistician. It assumes that the investigator recognizes the structure of his experimental design, has identified the experimental units that were used, and understands how the test was conducted. Given this information, the proper statistical analyses can be determined for the data.
1.1.1Recognizing that statistics is a profession in which research continues in order to improve methods for performing the analysis of scientific data, the use of statistical methods other than those described in this practice is acceptable as long as they are properly documented and scientifically defensible. Additional annexes may be developed in the future to reflect comments and needs identified by users, such as more detailed discussion of probit and logistic regression models, or statistical methods for dose response and risk assessment.
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