IDEAL LEVEL OF MEASUREMENT	CENTRAL TENDENCY	VARIANCE	UNIVARITE INFERENCE	RELATIONSHIP OR ASSOCIATION	BIVARIATE INFERENCE
Nominal	Mode	IQV	C.I. of Prop** One-sample t-test of Prop**	Symm. & Asym. lambda** Phi**	t-test of proportions** Chi Square**
Ordinal	Median	IQV		Gamma, Gamma12.3 Tau, Tau12.3	Gamma Test of Sig.(Var.#3 = NOM)** Tau Test of Sig.**
Interval	Mean	Range, IQR Standard deviation	C.I. of Means** One-sample t-test of Means**	r**, r12.3**	r Test of Sig.**
int. by Nom.-				Eta	t-test of means** F-test**

**The statistic has assumptions. For multiple choice "why or why not..." questions, ask:

1. Can the statistic answer the question?
2. Are the assumptions of the statistic met?
3. Is the level of measurement OK for the statistic? Remember, although data can be wasted, the reverse is not true. A statistic constructed for a higher level of measurement cannot be used on a lower level of measurement.
4. LEVEL OF MEASUREMENT

LEVEL OF STATISTIC	NOMINAL	ORDINAL	INTERVAL
NOMINAL	IDEAL	OK, BUT	WASTES
ORDINAL	LOGICAL	IDEAL	DATA
INTERVAL	ERRORS	MADE	IDEAL

Hints:

1. Be sure to ask the above three questions in the order given.
2. If the answer to any question is "no," then do not ask the next question; instead, look for that "no" answer in the multiple choice answers.
3. If the answer to any question is "yes," then go on to the next question.

1. table of contents
2. To return to the previous url use the browser's back button.