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B3 Significance testing

These are statistical tests used to compare individual values or sets of values for significant differences. [Pg.34]

A measurement or result that appears to differ significantly from others in the same set of replicates is described as an outlier. [Pg.34]

The Q-test is used to determine whether to reject or retain a suspected outlier. [Pg.34]

The F-test enables the precisions of two sets of data to be compared using their variances. [Pg.34]

The t-test is used to compare two experimental means, an experimental mean with a known value or sets of pairs of experimental values. [Pg.34]


See other pages where B3 Significance testing is mentioned: [Pg.34]    [Pg.35]    [Pg.37]    [Pg.39]   


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Significance testing

Significance tests

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