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Please use PYTHON code only. 6 . 6 2 The display below summarizes the results of analyzing a 2 4 factorial design. table [

Please use PYTHON code only. 6.62 The display below summarizes the results of analyzing a 24 factorial design.
\table[[\table[[Term],[Intercept]],\table[[Effect],[Estimate]],\table[[Sum of],[Squares]],% Contribution],[A,,6.25,3.25945],[B,5.25,110.25,57.4967],[C,3.5,49,25.5541],[D,0.75,,1.1734],[AB,0.75,2.25,1.1734],[AC,-0.5,1,0.521512],[AD,0.75,2.25,1.1734],[BC,1.5,9,],[BD,0.25,0.25,0.130378],[CD,0.5,1,0.521512],[ABC,-1,4,2.08605],[ABD,,2.25,1.1734],[ACD,-0.5,,0.521512],[BCD,0,0,0],[ABCD,-0.5,1,]]
(a) Fill in the missing information in this table.
(b) Construct a normal probability plot of the effects. Which factors seem to be active?
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