When you use your custom least squares Excel spreadsheet, the confidence interval in the rived x value is calculated as: Confidence Interval = xt tux here t is obtained from Table 4-4 using df =n-2 where n is the number of data points in the libration curve. A calibration curve based on n = 10 known points was used to measure the rotein in an unknown. The results were protein (x) = 13.84 ( 0.39) ug, where ux = 0.39 ug. Find e 90% and 99% confidence intervals for protein in the unknown. %3D

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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4) When you use your custom least squares Excel spreadsheet, the confidence interval in the
derived x value is calculated as:
Confidence Interval = x + tux
Where t is obtained from Table 4-4 using df = n-2 where n is the number of data points in the
calibration curve. A calibration curve based on n = 10 known points was used to measure the
protein in an unknown. The results were protein (x) = 13.84 (± 0.39) µg, where ux = 0.39 µg. Find
the 90% and 99% confidence intervals for protein in the unknown.
Transcribed Image Text:4) When you use your custom least squares Excel spreadsheet, the confidence interval in the derived x value is calculated as: Confidence Interval = x + tux Where t is obtained from Table 4-4 using df = n-2 where n is the number of data points in the calibration curve. A calibration curve based on n = 10 known points was used to measure the protein in an unknown. The results were protein (x) = 13.84 (± 0.39) µg, where ux = 0.39 µg. Find the 90% and 99% confidence intervals for protein in the unknown.
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