Standard Guide for Applying Statistics to Analysis of Corrosion Data

Importancia y uso:

3.1 Corrosion test results often show more scatter than many other types of tests because of a variety of factors, including the fact that minor impurities often play a decisive role in controlling corrosion rates. Statistical analysis can be very helpful in allowing investigators to interpret such results, especially in determining when test results differ from one another significantly. This can be a difficult task when a variety of materials are under test, but statistical methods provide a rational approach to this problem.

3.2 Modern data reduction programs in combination with computers have allowed sophisticated statistical analyses on data sets with relative ease. This capability permits investigators to determine if associations exist between many variables and, if so, to develop quantitative expressions relating the variables.

3.3 Statistical evaluation is a necessary step in the analysis of results from any procedure which provides quantitative information. This analysis allows confidence intervals to be estimated from the measured results.

Subcomité:

G01.05

Referida por:

C1187-20A, G0001-03R17E01, G0123-00R22E01, C0876-22B, D2688-23, G0071-81R24, G0082-98R21E01, G0071-81R24, C0876-22B, G0217-16R22, G0199-09R20E01, G0208-12R20, G0097-18R22, G0091-11R18, G0162-23, G0184-06R20E01, G0067-24, G0170-06R20E01, G0185-06R20E01, G0202-12R20, D4778-24, G0001-03R17E01, G0116-99R20E01, G0101-04R20, G0046-21, F3268-18A, C1617-24, F3044-20

Volúmen:

03.02

Número ICS:

07.020 (Mathematics), 77.060 (Corrosion of metals)

Palabras clave:

analysis of variance; corrosion data; curve fitting; statistical analysis; statistical tests;