Applied Statistics - Principles and Examples

AiBo analysis analysis of variance applications approach approximately aspects assumed assumptions bobbins calculated cent comparing comparison component conclusions confidence considerations consistent constant corresponding degrees of freedom depends Description discussion distribution effects Equation error estimated Example expected experiment explanatory variables exponential factor final fitted frequency further given in Table gives High houses important independent individual interaction interest interpretation intervals involved judges least limits linear mean square measured methods normally observations obtained parameters particular plot points possible precision prediction preference present probability problem proportions random random variation reasonable regression relation relatively represent residual response variable sample separate sets sets of data shows significant simple specific standard standard error statistical suggest systematic Table techniques temperature transformation treatment usually values variance weight yield