Blocking. This data considers prices (cents) for various solutions as collected in 9 catalogs in the mid-1970s. Consider yourself as the buyer for a company who is interested in finding the cheapest brand and supplier. Assume the quality of the brands is the same. Using JMP and ANOVA examine the following and explain: a. Analyze this data and appropriately explain your results. b. Analyze and interpret your residuals for normality, outliers, and against the data c. Are store and brand factors or blocks? why? Does it change the results?

could you please answer this step by step in details with basics.

3. Blocking. This data considers prices (cents) for various solutions as collected in 9 catalogs in the mid-1970s. Consider yourself as the buyer for a company who is interested in finding the cheapest brand and supplier. Assume the quality of the brands is the same. P 87 96 Brand H 95 95 104 106 87 81 94 91 85 87 Store 1 2 3 4 5 6 7 75 Q 82 97 70 77 65 81 70 85 110 98 97 123 128 ON Play PWM Oo oo 98 8 9 83 105 95 119 120 Using JMP and ANOVA examine the following and explain: Analyze this data and appropriately explain your results. b. Analyze and interpret your residuals for normality, outliers, and against 3. Blocking. This data considers prices (cents) for various solutions as collected in 9 catalogs in the mid-1970s. Consider yourself as the buyer for a company who is interested in finding the cheapest brand and supplier. Assume the quality of the brands is the same. P 87 96 Brand H 95 95 104 106 87 81 94 91 85 87 Store 1 2 3 4 5 6 7 75 Q 82 97 70 77 65 81 70 85 110 98 97 123 128 ON Play PWM Oo oo 98 8 9 83 105 95 119 120 Using JMP and ANOVA examine the following and explain: Analyze this data and appropriately explain your results. b. Analyze and interpret your residuals for normality, outliers, and against