Learning objectives
<br />Afterattendingthiscourse attendees will learn to handle analyticalresultswiththemost common univariate statistical techniques . They willbeabletocompare means and variances of two or more samples, tohandleacalibration curves and to correctly evaluate theuncertainityoftheanalyte concentration. Moreover they will be abletoplaneanexperimental design to answer to the most common needsofananalyticalchemists.<br />
Prerequisites
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Course unit content
<br /><br />Descriptivestatistics:<br />Numericaland graphical representaions of data <br />Centralvalue and dipersion evaluations<br />Distributionfunctions<br />Uniform,binomial, Poisson and normal distributions<br />Skewness and Curtosis coefficients<br />Inference statistics:<br />Significancelevel<br />Evaluationof the fitting of a actula distribution to a model (chi square test)<br />Stima dell'adattamento di una distribuzione reale ad unmodello (test del chi quadrato) <br />Comparisonof a sample mean with a reference value<br />Evaluationof a confidence level of a mean<br />Twosample means comparison (Student t test)<br />Comparisonbetween two series of data paired in bijection (t paired)<br />Evaluationof a confindence interval of a variance<br />Comparisonof two sample variances (F-test)<br />One wayanalysis of variance<br />Two wayanalysis of variance with and without interactions<br />ANOVAnested<br /> <br />Experimentaldesign<br />Reducedfactorial experimental designs<br />Responsesurfaces and optimisation
Full programme
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Bibliography
<br />S.J.Haswell: Practical Guide to Chemometrics, ed. Marcel Dekker<br /><br />M.Meloun,Militky, M.Forina: Chemometrics for analytical Chemistry, ed.
Teaching methods
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Assessment methods and criteria
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Other information
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