9 qq - 1 Assessing Normality of a Sample normal quantile...

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1 Assessing Normality of a Sample normal quantile plots can be used to assess whether the data could have come from a normal distribution these plots are also called QQ or normal scores plots the sorted values are plotted against the values we would expect to get if the sample came from a normal distribution a straight line in this plot indicates that the data are normally distributed outliers show up as values distant from the overall pattern curvature indicates departure from normality e.g. skewness the NSCORES command in MINITAB can be used to produce the values to be plotted against the data For example MTB > nscores c1 c2 Manually you can create the normal probability scores using the following commands First rank the data from C1 to C3. Then create the quantile of each observation in column C4 and finally find the point of the normal distribution which gives you the corresponding quantile. MTB > rank c1 c3
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This note was uploaded on 03/27/2012 for the course ECON 2280 taught by Professor Daniel during the Spring '12 term at Dalhousie.

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9 qq - 1 Assessing Normality of a Sample normal quantile...

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