Statistics practice 2 - Essay Example

Statistics Practice 2 Affiliation 5. ANOVA F Tests. Source SS df MS F Between 3.20 2 60 0.138 Within 313.50 27 11.61 Total316.7029a. Effect size = SSbet which is, 3.20 = 0.01 SStot 316.20b. Recalling Cohen’s guidelines, a small effect is less than 0.01, a medium effect is between 0.25 and 0.40 and a large effect is more than 0.40. From the calculations Ƞ2 = 0.01 which means that the effect size is small. Thus, 1% of the change in the dependant value which is the test score can be accounted for by the independent value that is the question order (Steinberg, 2010).

This is not a practical difference.8. Effect Size for Goodness of Fit Testa. Effect size r = One variable of goodness of fit N × (c – 1)N = 382, c = 3, goodness of fit = 22.40. Plugging the values into the formula we get:Effect size r = 22.40 = 0.03 382 × (3-1)b. A small effect is less than 0.30, a medium effect is from 0.30 to 0.50 and a large effect is more than 0.50. Thus the 0.03 effect is small even if it had initially been statistically significant at the 0.

01 error level (Steinberg, 2010). There is no practical difference in the location from which faculty at this college versus nationwide faculty earned their undergraduate degrees.ReferencesSteinberg, J. W. (2010). Statistics Alive! (2nd ed.). Thousand Oaks, CA: Publications.