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The free Academic Version is limited to 100 cases by 10 variables. This text is a general course in elementary statistics. So in this particular case, M equals five. If you have already calculated the mean of your data, you can pass it as the optional second argument mu to avoid recalculation: >>> mu = mean(data) >>> pvariance(data, mu) 1.25 This function does not attempt to verify that you have passed the actual mean as mu. The data sets are suitable for illustrating, among other things, the fitting of wage equations, growth regressions, hedonic regressions, dynamic regressions and time series models as well as models of labor force participation or the demand for health care.

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Publisher: Key Curriculum Press (2010)

ISBN: 1559536853

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