Consult GLP

Hypothesis testing – comparison of two means

One of the most important properties of an analytical method is that it should be free from bias. That is to say that the test result it gives for the amount of analyte is accurate, close to the true value. This property can be verified by applying the method to a certified reference material or spiked standard solution with known amount of analyte. We also can verify this by carrying out two parallel experiments to compare their means….

Hypothesis testing – comparison of two experimental means

Category:

BASIC STATISTICS

TAGGED WITH

F-TEST hypothesis Testing STUDENT'S T-DISTRIBUTION

The variance ratio test

The Fisher F-test statistic is based on the ratio of two experimentally observed variance, which are squared standard deviations. Therefore, it is useful to test whether two standard deviations s1 and s2, calculated from two independent data sets are significantly different in terms of precision from each other. Read more … The variance ratio F-test statistic

Category:

BASIC STATISTICS

TAGGED WITH

F-TEST SIGNIFICANCE-TEST Variance