Standard Guide for Application of Basic Statistical Methods to Weathering Tests

Importancia y uso:

4.1 The correct use of statistics as part of a weathering program can greatly increase the usefulness of results. A basic understanding of statistics is required for the study of weathering performance data. Proper experimental design and statistical analysis strongly enhances decision-making ability. In weathering, there are many uncertainties brought about by exposure variability, method precision and bias, measurement error, and material variability. Statistical analysis is used to help decide which products are better, which test methods are most appropriate to gauge end use performance, and how reliable the results are.

4.2 Results from weathering exposures can show differences between products or between repeated testing. These results may show differences which are not statistically significant. The correct use of statistics on weathering data can increase the probability that valid conclusions are derived.

Subcomité:

G03.93

Referida por:

G0166-00R20, D6360-15R21, D1499-13R21, D4329-21, D7893-13R18, D0822-23, D4141_D4141M-22, D5071-06R21, D4459-21, G0141-09R21, D4587-23, D4798_D4798M-11R21, D4674-19, D5208-14R22, D5722-20, D5031-23, D3361_D3361M-22, C1589_C1589M-18R23, D2565-23, D6695-24, G0151-19, G0090-23, D5272-08R21, G0151-19

Volúmen:

14.04

Número ICS:

19.040 (Environmental testing)

Palabras clave:

experimental design; statistics; weathering;