| (a) | The following is a typical set of data for determining a calibration line. For the data, determine the following quantities: Sxx, Syy, Sxy, Sr, the slope m, and the intercept b of the best fit line. You can determine these numbers any way you like (by hand or by spreadsheet), but if done by spreadsheet, include the formulae used in your report. | ||||
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| Sol'n | Sxx = 02 + 52 + 102
+ 152 + 202 + (0 + 5 + 10 + 15 + 20)2/5
= 250 (or use spreadsheet formula) similarly, Sxy = 58; ; Syy = 13.68328 slope = m = Sxy/Sxx = 0.232 mean(x) = 10; mean(y) = 2.482 |
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| (b) | Determine the concentration of the unknown sample and give the confidence interval for the number. | ||||
| Sol'n | The x value for the unknown y is: [unk] = (y - b)/m = (3.67 - 0.162) / 0.232 = 15.1206.... Sr = 0.275245... Therefore, the unknown has a concentration of 15 +/- 1 ppm. Also acceptable: 15.1 +/- 1.4 ppm. |
Last updated, February 4, 2005
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