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ana.chem.lec - how to do the grubbs or g test g=...

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11:34 q test – rejection of obs.  the dilemma – one value looks way off the rest. what do we do? can we just not  use it? we must support removing the point – q test based on the range  q= gap/range calculate the range of the results find the difference between the off value and the nearest neighbor divide by the range compare to table of q’s if q is greater than the table’s values, then the gapped value can be discarded  with at least 90% confidence can only perform the q test more than once the grubbs test an alternative (more statistically solid): grubbs test takes into consideration the fact that more than one value can be  “questionable” and uses the average to compare its value grubbs test weighs on the std dev to assure the precision of the measurement
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Unformatted text preview: how to do the grubbs or g test? g= |questionable value – mean| / s 1. calc. the mean value 2. find the difference between the off value and the mean divide by the std. dev compare to table of q values if g is greater than the table value then the value is further off and able to be discarded calibration curve least squares – finding the best straight line (linear least squares) • straight line given by y=mx +b, • least squares is commonly used to generate a calibration curve • it is based on minimizing the vertical (y) deviation • derivation I calculus based. will avoid deviation • chapter 5 – quality assurance 11:34 standard additions is in the last chapter check lec slides chapter 6 11:34...
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  • Spring '10
  • DIAZ
  • calibration curve, best straight line, grubbs test, nearest neighbor divide, range  q= gap/range, g= |questionable value

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