```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.