Deck 22: Tests of Statistical Significance for Single-System Designs

Question 1

The larger the number of data points, the easier it is to detect intervention effects.

Answer 1

True

Question 2

The chi-square approach can be used with auto-correlated data.

Answer 2

False

Question 3

When the results of performing several measures of statistical significance (such as those listed above) differ, one simply takes the most powerful among these tests and assumes that this answer is the most nearly correct one of the group.

Answer 3

False

Question 4

The X-Moving Range-chart (the three-standard-deviation-band approach) is useful with small numbers of data.

Question 5

The t-test is a very powerful measure of statistical significance which can be calculated by hand or with a simple calculator, as well as by a computer program.

Question 6

The C-Chart and the X-mR-Chart are both types of:

A) Chi-square
B) SPC's
C) Proportion/Frequency Approaches
D) CDC's

Question 7

The proportion/frequency approach can be used with dichotomous data.

Question 8

The chi square has a long tradition of use with single-system designs, and is, therefore, one of the safest statistics to use.

Question 9

The randomization test is used to compensate when it is impossible to assign treatments randomly.

Question 10

The CDC approach has been shown to be useful even with data that are positively auto- correlated up to an autocorrelation of .50.