WNGZWZSS0110€rЧqЧql?џџџџџџџџџџўџџџџџџџџџџџўџџџџџџџџџџџџџџџџџџџџџџџџџџ Geneva~ AUTOSAVE.WKZJкы# +/24)dџџўџўџўџўџўџ7Wўџ JАm€(џџ D\ШXШœ$џШ€џџ№.№/h0dџ№€€@><?F@ џџ>џm@ џџ1џmo@ џџ2џz@ џџ3џIo@ џџыџI@ 6џCx@ џџ7џCs@ џџыџVx@ џџыџVs@ џџ4џEv@ џџ:џnomVs@ џџ9џnomVx@ џџ5џEs@ џџ<џSs@ џџ=џSx@ џџыџC@ џџыџVt@џџ@џresult@џџ8џblank@ ьџџџЁџ@ ыџўџЅџ@ ъџ§џЅъџ§џЁ1џ@§џ /% 1џ@‡№?*-Cыт6?%$@  0%2%4*-Cыт6?%1Т№?{ЎGсz„?,@ 0/%0.%0№?{ЎGсz„?,@ 0/%0.%0џ@‹№?*-Cыт6?%$@   0.%2%4*-Cыт6?%1Т№?{ЎGсz„?,@ 0/%0.%0№?{ЎGсz„?,@ 0/%0.%0џ@   1џ@   0/џ@   0 1џ@   /% 1џ@   1џ@ ўџџџ“.џ @ џџџџGeneva @  џџџџGeneva @  џџџџGeneva @ e џџџџGeneva @  џџџџGeneva @  џџџџSymbol @F/џџ=Simulation of the Single External Standard Method (nonlinear) @y1џџmo №?џџ+Analytical curve slope without interference џџ Run number џџresult @x2џџz š™™™™™Й?џџ-Interference factor (zero -> no interference)џџ№?l=Эёџ? @x3џџIo џџ,Interferent concentration in original sampleџџ@Гœ_VГ№џ? @l4џџEv {ЎGсz„?џџ Random volumetric error (% RSD )џџ@†АНъУёџ? @l5џџEs џџ Signal measurement error (% RSD)џџ@ё.ёџ? @p6џџCx @џџ$True analyte concentration in sampleџџ@ˆ&jMУёџ? @n7џџCs №?џџ"Concentration of standard solutionџџ@Ž-Узєџ? @i8џџblank џџ(Uncorrected) blank signalџџ@8ЗъЈdёџ? @:9џџ @?ъ6eѓџ? @::џџ"@*Џш№џ? @=;џџџџ$@пM= §яџ? @d<џџSs5 ж(уHЫћя?џџSignal given by standardџџ&@кЬ'Шяџ? @b=џџSx5 ŸЧюџ?џџSignal given by sampleџџ(@CСи• ђџ? @r>џџm5 №?џџ'Analytical curve slope in actual sampleџџ*@ЁТˆѓџ? @`?џџratio5 U—РІ…р?џџRatio of Ss to Sxџџ,@‹ГЂу’ёџ? @z@џџresult5  ЃЬ‡њђџ?џџ*Result calculated by proportion (Cs*Sx/Ss)џџ.@3~H ђџ? @kAџџaccuracy52  Кf№ќ ZПџџRelative percent accuracyџџ0@8Ta@№џ? @}Bџџrecovery52  №?џџ+Relative % effect of interference on signalџџ1@БоžРяџ? @ Cџџ2@pT(Зёџ? @ Dџџ3@cГ ­Hѓџ? @ E џџ4@ 5ьИТйёџ? @FџџMean%ŠЙMЇёџ? @Gџџs%@‹ЃDP4? @Hџџ% RSD%2фtЯcY$? @!I џџAccuracy% 2ьŒdћБ\П @$Jџџ total error%2 ‚ˆ{о'=_?€@+./ Lџџџџџџџџџџ(€@Ь€ЪС0:џџџџџџџџџџ€zў{nDKџџџџџџџџџџџџџ Chicago Geneva@`,Based on Ingle and Crouch, вSpectrochemical Analysisг, Chapter 6. The group of variables in the top left of the screen are independent variables that you can change. Click on the number (boldface), type a new value and press the enter key. The group of variables in the bottom left of the screen are dependent variables that are automatically calculated from the independent variables. The most important dependent variable is result, which is the simulated experimental measurement of the analyte concentration Cx. It should ideally be equal to Cx; accuracy is the % difference between them. To inspect the equations that perform these calculations, click on the number and look at the rectangular box at the top of the screen. To operate the Monte-Carlo simulation, set the values of the independent variables, and then click on the в20 repeat runsг button. This simulates the 20 spearate standard addition experiments with random errors caused by Es and Ev. The results are shown in the table on the right of the screen. Assumptions: 1. Analytical curve is non-linear. 2. The only sources of error are random errors in volume and signal measure-ment. Errors are a fixed percentage of the quantity measured (fixed relative error rather than fixed absolute error).  Geneva Geneva((чьЏЕ')+3ОРХЧ€q20 repeat runs пЦЇEF20 repeat runse?777§§§ 2Iџ§§§ 2Iџ§№?є4@№?4@№?ї.єѕ0§§& resultџRI@.5C95џДџ§=avg(R51C9..R70C9)Fџ§=std(R51C9..R70C9)Gџ§0$=std(R51C9..R70C9)/avg(R51C9..R70C9)Hџ§=(R71C9-Cx)/CxIџќcountrepaint off define count column numbers select range R51C9..R74C9 remove data unselect repaint range R51C9..R74C9 repaint on for count = 1 to 20 recalc put result into "R"&50+count&"C9" end for put "=avg(R51C9..R70C9)" into R71C9 put "=std(R51C9..R70C9)" into R72C9 put "=std(R51C9..R70C9)/avg(R51C9..R70C9)" into R73C9 put "=(R71C9-Cx)/Cx" into R74C9 џџџ4џџџџџџџџџџ Chicago Chicago2€€џ