1. STATISTICS- Because we can’t sample every part. - Because no matter what we do, no two parts will be the same. - Because we define a product to meet specifications and we can measure how well it conforms. - Because differences between parts are hard (assignable causes) or impossible (chance causes) to predict. - Because we can sample a few and draw conclusions about the whole group. - We want to sample as little data as possible to draw the most accurate conclusions about the distribution of the values. - Inductive - Try to get overall variance within group. i.e. assume all of group should conform ***WE USE THIS TYPE - Deductive - Attempt to classify differences that exist within a group (i.e. election polls). 1.1 DATA DISTRIBUTIONS |