07efe6f60b97e2b09ac7ae36dbe30425

How dol... iWhen should or shouldn't I... f

Adjust when	rxammc dala for
assumpilons	cqual
arevio!ated?	poputellon
Approximate a	variances?
random	t xamtnc dala for
samp!c?	homosccdaslioiy?
nc concemcd	1 xamme data for
aboul meeiini?	indepcndcnce
ihe	cf observations?
assumptions of	f xamine dala for
a lesi?	multivariaie
Be concemcd	normalny?
about ihe	lnamine scales for
ranJomness of	measuernent
ihe sample?	error?
Calculaie ihe	[xamme Ihe
pscudostardard	assumptions of
dcMaion?	a test?
Calculatean	Examire rcsidual
appropriate	errers?
sample s-/c?	Kno.v if a
Design oi	disinbulion is
opcranonalize	r.ormai?
insirumenis lo	Match data lo
maumize informalion? Ixamme dala for bivariaie normalny?	siat sticai icsts?

A normuj	(rror icrm?
probability ploi?	Homcscedasiicity?
A random rampie?	■ndependence of
A residua!?	obscreatiors?
Assumptlons	miractass
aboul crroi or	corrclaiion
dfstuibance	coefriclent?
icrms?	ie\elsot
Assumpilons	mcasuremcni?
aboul	Measuremem
measurement?	error?
Assumpilons	\\uhi\ariate
aboul ihe	normalny?
sample?	Nonparamcmc
Assumpiions	icsts?
aboul ihe	Raramctftc icsts?
stalislical	iYipulation
model?	paiametcrs?
Assumpilons	Pseudo standard
re'aled to characterislics of pcpiiaiion dislnbutions?	dcvia!lon <PSD>? p!01? Robuslness of a iCSt? Scales of
Autocoirclauon?
Bivaiiate	measurcmeni?
noirrality? Rrwnlate	Spcciflcalion ciror? ihctcvene lesi?
scatterplol mairix?	Ihe major
DlslurbafKe lenn? Uurb n-Waison	assumpiors undetlyinp siaiisiical lesis?
stalisnc?

Level: Advanced

Focus: Conceptual