The independent variable in the study below is Climate. The dependent variable is the percentage of people within a country who are literate.

ANOVA
literacy People who read (%)
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	12246.017	3	4082.006	9.678	.000
Within Groups	40912.617	97	421.780
Total	53158.634	100

Part 1: Using the above information identify the values below in A-D and then complete E.

A.(MSbetween):

B. (MSwithin):

C. (F):

D. (Sig.):

E. Calculate and interpret the eta-squared:

Part B.

Multiple Comparisons
Dependent Variable: literacy People who read (%)
	(I) climate Predominant climate	(J) climate Predominant climate	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
	Lower Bound	Upper Bound
Tukey HSD	arid / desert	tropical	3.611	5.688	.921	-11.26	18.48
maritime	-13.117	7.021	.249	-31.47	5.24
temperate	-21.667*	5.653	.001	-36.44	-6.89
tropical	arid / desert	-3.611	5.688	.921	-18.48	11.26
maritime	-16.728	6.581	.060	-33.93	.48
temperate	-25.277*	5.095	.000	-38.60	-11.96
maritime	arid / desert	13.117	7.021	.249	-5.24	31.47
tropical	16.728	6.581	.060	-.48	33.93
temperate	-8.550	6.550	.562	-25.67	8.57
temperate	arid / desert	21.667*	5.653	.001	6.89	36.44
tropical	25.277*	5.095	.000	11.96	38.60
maritime	8.550	6.550	.562	-8.57	25.67
*. The mean difference is significant at the 0.05 level.

Based on the table above, identify and interpret the sources of the statistically significant ANOVA: