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438        Six SigMa  DemystifieD


                             CHIDIST((20-1)*(15^2)/(21^2),20-1)).	When	the	p	value	is	less	than	0.05,	we
                             reject	the	null	hypothesis	and	can	assert	the	alternative	hypothesis	(i.e.,	the
                             strong	conclusion).
                                                                                  2

                          68.	 b.	The	F	statistic	for	testing	equality	of	variance	is	calculated	(for	s >	s >)	in
                                                                                      2

                                                                                      2
                                                                                  1
                             Excel	as	=(21^2)/(15^2).
                          69.	 d.	In	Excel,	the	p	value	for	the	two-sided	hypothesis	that	the	variances	are	equal
                             is	0.15,	calculated	as	P=2*FDIST((21^2)/(15^2),20-1,20-1).	When	the	p	value
                             exceeds	0.05,	we	fail	to	reject	the	null	hypothesis.	Choice	c	is	incorrect	because
                             we	cannot	assert	the	alternative	(because	this	is	the	weak	conclusion	of	failing	to
                             reject);	we	can	only	suggest	that	there	are	insufficient	data	to	reject	the	null
                             hypothesis.
                          70.	 d.
                          71.	 d.
                          72.	 c.
                          73.	 b.
                          74.	 c.
                          75.	 d.
                          76.	 b.
                          77.	 d.
                          78.	 c.
                                         2
                          79.	 d.	Note	the	X		term.
                                         1
                          80.	 a.	Choice	b	is	incorrect	because	there	are	no	higher-order	terms.	Choice	c	may
                             not	be	correct	if	there	are	no	extra	runs	(degrees	of	freedom)	to	calculate	error
                             because	only	four	trials	are	used.
                          81.	 d.	F	tests	cannot	be	performed	on	the	regression	when	there	are	insufficient
                             degrees	of	freedom	(unique	trials	or	experimental	conditions)	to	estimate	error.
                             Often,	factors	can	be	removed	from	the	regression	to	free	up	trials	for	error
                             estimation.
                          82.	 d.	Standard	notation	for	designed	experiments	where	there	are	n	factors	all	at	L
                             levels	is	Ln.
                          83.	 b.	Increasing	the	number	of	observations	by	replicating	an	experiment	provides

                             the	benefits	described	by	i	and	iii.	Note	that	ii	is	untrue	and	that	only	choice	b
                             doesn’t	have	ii.
                          84.	 b.
                          85.	 a.
                          86.	 d.	Taguchi	and	Plackett-Burman	designs	are	screening	designs	that	involve	a	large
                             number	of	factors	with	a	small	number	of	trials.	Response	surface	designs
                             attempt	to	fit	a	nonlinear	equation	to	the	response	surface.	This	requires	more
                             degrees	of	freedom	than	a	screening	experiment.	EVOP	is	used	to	make	gradual
                             improvements	over	time.	A	large	number	of	trials	is	made;	then	very	small
                             changes	are	made	in	the	factor	levels.
                          87.	 b.
                          88.	 d.
                          89.	 d.
                          90.	 a.	Interaction	AB	will	be	at	its	low	level,	AC	at	its	high	level,	and	ABC	at	its	low
                             level.
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