CHEM 2121 Lecture 13: Lecture 1312014.pdf

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15 Jul 2014
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First find mean and standard deviations of both data sets. Then do corresponding t test to see if data is actually significant. Grubbs test replaces q test (did in ap chem) deciding if need to remove outlier (a point that really doesn"t describe data set) ex: xbar = 0. 10464 m, s = 0. 00103 m. Gcalc = |0. 1029 m - 0. 10464 m|/0. 00103m = 1. 692 -->0. 1029 m really is an outlier. But if you know for sure you did an experimental mistake, just cross off that point, don"t need to statistically prove it. **using gaussian distribution to make predictions (section 4-1, z(abisca) and normal error curve) ----------> learn on your own. We do it on lines, but can work for nonlinear curves as well. Residuals: difference between your data pt and predicted data pt (y1 - ypred)2 (y2 - ypred)2 (y3 - ypred)2 (y4 - ypred)2. When draw line of best fit freehanded, we are subconsciously using method of least squares.

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