Statistical Methods for Psychology

a square root transformation not only may help us equate group variances but, because it compresses the upper end of a distribut ...

statistics (r 5 .88). This linearity suggests that a logarithmic transformation might be use- ful. In Table 11.6b the data have ...

and because that is standard practice in their area of research. A case might be made, how- ever, that a logarithmic transformat ...

The reciprocals of these times are [0.100, 0.091, 0.077, 0.071, 0.067, 0.022, 0.002] Notice that the differences among the longe ...

would replace the two lowest values (3 and 7) by 12s and the two highest values (36 and 50) by 33s, leaving 12 12 12 15 17 17 18 ...

Chapter 18, which should not be difficult to understand even without reading the intermediate chapters. 11.10 Fixed versus Rando ...

of the difference. In previous chapters I have made a distinction between the d-family of measures, which relate directly to dif ...

You should recall that in Chapter 9 we saw that (Don’t be confused by the fact that we routinely represent the dependent variabl ...

346 Chapter 11 Simple Analysis of Variance Percent Reduction in Error (PRE) omega-squared (v^2 ) points out the fact that it can ...

Applying this to our data from Table 11.2, we have The estimate of in this case (.393) is noticeably less than the estimate of 5 ...

We divide by (k– 1) instead of k to get the average because with a fixed variable the sum of the deviations from the grand mean ...

close to 1.00 for reasonable sample sizes. (See footnote, p. 328). If is false, this ratio becomes where is called lambda ( )or ...

Control 0.1 mg 0.5 mg1 mg2 mg 34.00 50.80 60.33 48.50 38.10 with a grand mean of 46.346 and an average sample variance (MSerror) ...

Thus we would need 8 subjects per group to have an 80% chance of rejecting if it is false to the extent that we believe it to be ...

Fvalues that we obtain. Finally, we can ask how many of those Fvalues exceed the critical value of F, thus leading to a signific ...

This example illustrates the use of repeated sampling to directly investigate the power of a test, the variability of sample mea ...

and random sampling of treatment levels. As Koele phrased it, “Not only should there be many observations per level, but also ma ...

Procedure.(Menu selections are not shown, but they should be evident.) This is the proce- dure we will use in Chapters 13 and 14 ...

356 Chapter 11 Simple Analysis of Variance Key Terms Analysis of variance (ANOVA) (Introduction) One-way analysis of variance (I ...

Older/Low: 98681046577 Older/High: 101914 5101114151111 a. Run a one-way analysis of variance on these data. b. Now run a one-wa ...