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Principal Components PowerPoint PPT Presentation

Principal Components - We could plot pairs of variables. There are 15 such pairs ... The plot does not 'tilt' in either direction. SM339 Spring 08 - Principal Components ...

We could plot pairs of variables. There are 15 such pairs ... The plot does not 'tilt' in either direction. SM339 Spring 08 - Principal Components ...

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SM339 - Finds where fn(x)=value, given that the answer is between LO and HI ... For unbounded RV (Poisson, erlang, normal), use large values for HI or small values for LO ...

Finds where fn(x)=value, given that the answer is between LO and HI ... For unbounded RV (Poisson, erlang, normal), use large values for HI or small values for LO ...

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Logistic Regression PowerPoint PPT Presentation

Logistic Regression - Chiprob=0.0094, so Race matters. SM339 Spring 08 - Logistic Regression. 30 ... PV (df=2) is 0.0094. Age, Wt, Race, Xprod Dev=212.6114. PV (df=2) is 0.3007 ...

Chiprob=0.0094, so Race matters. SM339 Spring 08 - Logistic Regression. 30 ... PV (df=2) is 0.0094. Age, Wt, Race, Xprod Dev=212.6114. PV (df=2) is 0.3007 ...

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SM239 - Can also use 'shortcut' method with norminv. Draw the picture! SM339 Two sample. 10 ... Using shortcut method. Crit=norminv(.01,17,3.8/sqrt(5)) Using bisect ...

Can also use 'shortcut' method with norminv. Draw the picture! SM339 Two sample. 10 ... Using shortcut method. Crit=norminv(.01,17,3.8/sqrt(5)) Using bisect ...

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Sm339 PowerPoint PPT Presentations