1. The Bureau of Labor Statistics collects information on the earnings of men and women for different occupations. A reporter for The Tampa Tribune wanted to investigate whether there were any significant differences between the weekly salaries of men and women in 3 different occupations. The weekly salary for each individual was recorded.

1. ANOVA
   Source of Variation	SS	df	MS	F	P-value	F crit
   Sample	221880	1	221880	21.25355216	0.000111908	4.259677214
   Columns	276560	2	138280	13.24563364	0.000133027	3.402826105
   Interaction	115440	2	57720	5.528912162	0.010595352	3.402826105
   Within	250552	24	10439.66667
   Total	864432	29

2. Is there any significant effect due to occupation? Explain.
3. Is there any significant effect due to gender? Explain.
4. Is there any significant effect due to the interaction of these factors? Explain.

2. A research firm tests the mpg characteristics of 3 brands of gas. Because different auto models have different performance characteristics, 5 different models of car are selected and treated as blocks in the experiment.

1. (Single Factor)

   ANOVA
   Source of Variation	SS	df	MS	F	P-value	F crit
   Between Groups	23.33333333	2	11.66666667	0.607638889	0.560569803	3.885293835
   Within Groups	230.4	12	19.2
   Total	253.7333333	14

2. (RBD)

   ANOVA
   Source of Variation	SS	df	MS	F	P-value	F crit
   Rows	217.0666667	4	54.26666667	32.56	5.34821E-05	3.837853355
   Columns	23.33333333	2	11.66666667	7	0.017485144	4.458970108
   Error	13.33333333	8	1.666666667
   Total	253.7333333	14

3. In succinct complete sentences, compare the 2 results. What is the advantage of the RBD? (Don’t be cheap here -- I'm going to compare answers)

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