The three techniques used to salvage data sets with missing


1. The three techniques used to salvage data sets with missing data are

A. stemming, aliasing, and exclusion

B. data entry, optical scanning, and voice recognititon

C. MCAR,NMAR,MAR

D. listwise deletion, pariwise deletion, and predictive replacement

2. Which of the following is a false statement?

A. The failure to correctly reject the null hypothesis is referred to as a Type Ierror(a)

B. The failure to correctly reject the alternative hypothesis is referred to as a Type II erro(B)

C. Whether using a one-tailed test or a two-tailed test, a region of rejection, a region of acceptance, and, therefore,c ritical values may be developed.

D. The level of signifiance is quantitatively defined as a and the statistcal power of a test is quantitatively defined as 1-a

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