Page 457 - Six Sigma Demystified
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a n S w e r S  To   q u i z z e S   a n D   f i n a l   e x a m      437


                             48.	 c.
                             49.	 a.
                             50.	 d.
                             51.	 a.	Subgroups	larger	than	one	would	include	samples	taken	over	too	long	a
                                period,	increasing	the	chance	of	including	special	causes	within	the	subgroup.
                             52.	 d.
                             53.	 b.	Although	increasing	the	subgroup	size	will	increase	the	sensitivity	of	the	chart
                                to	small	process	shifts,	it	comes	at	the	cost	of	increased	sampling	and
                                measurement.
                             54.	 d.
                             55.	 b.
                             56.	 d.
                             57.	 b.
                             58.	 d.
                             59.	 a.
                             60.	 a.
                             61.	 a.
                             62.	 b.	In	Excel,	the	95%	two-sided	upper	and	lower	confidence	limits	are
                                calculated	as
                                             upper: =121+TiNV(0.05,20-1)*15/SQRT(20)

                                              Lower: =121-TiNV(0.05,20-1)*15/SQRT(20)

                             63.	 c.	In	Excel,	the	95%	one-sided	upper	confidence	limit	is	calculated	as
                                             upper: =121+TiNV(0.05*2,20-1)*15/SQRT(20)

                             64.	 d.	In	Excel,	the	p	value	for	the	two-sided	hypothesis	that	the	mean	equals	115	is
                                0.09,	calculated	as	P=TDIST(ABS((121–115)/(15/SQRT(20))),20-1,2).	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.
                             65.	 a.	In	Excel,	the	p	value	for	the	one-sided	hypothesis	that	the	mean	is	less	than	or
                                equal	to	115	(case	2	in	Part	3)	is	0.045,	calculated	(for	t	>	0)	as
                                P=TDIST(ABS((121-115)/(15/SQRT(20))),20-1,2).	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).
                             66.	 d.	In	Excel,	the	p	value	for	the	two-sided	hypothesis	that	the	standard	deviation
                                equals	21	is	0.08,	calculated	(for	CHIDIST	>	0.5)	as	P=2*(1-
                                CHIDIST((20-1)*(15^2)/(21^2),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.
                             67.	 a.	In	Excel,	the	p	value	for	the	one-sided	hypothesis	that	the	standard	deviation
                                is	greater	than	or	equal	to	21	(case	1	in	Part	3)	is	0.040,	calculated	as	P=(1-
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