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Confidence limits of the geometric mean for a log-normal distribution

Confidence intervals can be used as a test for systematic errors as shown in the following example. [Pg.31]

The absorbance scale of a spectrometer is tested at a particular wavelength with a standard solution which has an absorbance given as 0.470. Ten measurements of the absorbance with the spectrometer give 1 = 0.461, and s = 0.003. Find the 95% confidence interval for the mean absorbance as measured by the spectrometer, and hence decide whether a systematic error is present. [Pg.31]

The 95% confidence limits for the absorbance as measured by the spectrometer are [equation (2.9)]  [Pg.31]

Since the confidence interval does not include the known absorbance of 0.470, it is likely that a systematic error has occurred. [Pg.31]

In practice the type of problem in Example 2.9.1 is usually tackled by a different, but related, approach (see Example 3.2.1). [Pg.31]


Confidence limits of the geometric mean for a log-normal distribution 31... [Pg.31]




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A The Normal Distribution

A distribution

A?-means

Confidence

Confidence limits

Distribution limiting

Distribution normalization

Distribution of means

Distribution of the mean

Geometrical mean

Limitations for

Limits of Confidence

Log-Normal distribution

Log-normal

Mean normalization

Means normal distribution

Normal distribution

Normal limits

Normal, meaning

Normalized distribution

The log-normal distribution

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