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Thermonicolet Omnic Software User's Guide 6.1 (PDF) - Charles E ...

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3. Choose Average from the Process menu.<br />

The Average dialog box shows the average Y value of the displayed or<br />

selected spectral region.<br />

4. Choose OK.<br />

Performing<br />

statistical<br />

calculations<br />

on spectra<br />

Statistical Spectra in the Analyze menu lets you perform statistical calculations on<br />

two or more selected spectra. For each data point (X value), you can find the<br />

average, variance and range of Y values for the spectra, as described in the table<br />

below.<br />

Calculation<br />

Description<br />

Average<br />

The arithmetic mean of the Y values for each data point. (The Y<br />

values for a data point are added together, and then the total is<br />

divided by the number of spectra.)<br />

Possible uses: By calculating and saving the average of a group of<br />

spectra (of samples from a production run, for example), you can<br />

“average out” sample preparation and sampling variations. You<br />

can also use the average obtained from a group of standard<br />

samples as a reference (added to a search or QC library) that may<br />

be more representative of a compound than any single spectrum.<br />

Variance<br />

The standard deviation of the Y values for each data point. (The<br />

mathematical formula for standard deviation is used.)<br />

Possible uses: By comparing the variance of different peaks, you<br />

can detect the introduction of impurities in a production process.<br />

You can also calculate the variance of spectra of a standard sample<br />

collected at different times to check the repeatability of the<br />

spectrometer’s measurements.<br />

Range<br />

The range of Y values for each data point. (The lowest Y value for<br />

a data point is subtracted from the highest Y value for that point.)<br />

Possible uses: By comparing the ranges of groups of samples from<br />

different production runs, you can detect changes in how<br />

controlled a production process is. You can also compare the<br />

ranges obtained for a group of standard samples collected at<br />

different times to check the repeatability of the spectrometer’s<br />

measurements.<br />

240 Thermo Nicolet

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