review final

review final - 1 Mini review for final NB: This does not...

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Unformatted text preview: 1 Mini review for final NB: This does not cover all material! Units, Conversions , Powers of 10, Prefixes Errors : Sig Figs, Error propagation Statistics: Normal distribution, t-test, Q-test Equilibrium: Constant, K sp , K H , K w , separation by precipitation, acids & bases, K a , K b Titration: v e, titration curves Acid-base titrations (very) Rough outline Acids & bases- buffers, HH equation Electrochemistry Nernst equation ion selective electrode Spectrophotometry Beers Law light, Atomic spectroscopy Mass spectrometry Isotopes, accurate mass fragmentation Chromatography formulas Other techniques NMR, XRay, STM (very) Rough outline Molarity = Moles of solute/Liters of Solution (M) Molality = Moles of solute/Kg of Solvent (m) Mole Fraction = Moles solute/total number of moles Mass % = Mass solute/total mass x 100 Volume % = volume solute/total volume x 100 ppm = parts per million * ppb = parts per billion * Chemical concentrations * mass for solutions, volume for gasses Basic tools 2 Random error Systematic error Basic tools significant figure: The number of significant digits in a quantity is the minimum number of digits needed to express the quantity in scientific notation.. Basic tools Basic tools The real rule: The first uncertain figure is the last significant figure. TIP: In our calculations, we retain extra insignificant digits and round off only at the end. Basic tools 3 A Gaussian curve in which = 0 and = 1. A Gaussian curve whose area is unity is called a normal error curve. In this case, the abscissa, x , is equal to z , defined as z = ( x )/ . Basic tools Basic tools 0.11/0.2 = 0.55 For 5 measurements Q = 0.65 So.....
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This note was uploaded on 05/19/2010 for the course CHEM 150 taught by Professor Buratto during the Spring '08 term at UCSB.

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review final - 1 Mini review for final NB: This does not...

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