ONLY ANSWER QUESTION #2 PLEASE.

This assignment was locked Feb 14 at 11:59pm. 1a. (15 points) Use Affordability, Quality, and Style as the only Values for your decision in finding the best computer for you among 3 computers you have identified as your choices. Apply the Multifactor Evaluation Process by: (i) assigning normalized weights to the Values, (ii) assigning for each Value, ratings of individual computers, and normalizing these ratings for each Value. (iii) computing the total score of each computer by multiplying the normalized weight to the normalized rating of each Value and summing the products for each Computer. Note: the total scores are automatically normalized, i.e., summing to 1. The computer with the highest total score is the Best computer. You must follow the example on OV-13 to systematically show all normalized numerical results to receive full credits. 16. (5 points) Compute the following ratios: RWM1=Largest weight/smallest weight. RWM2=Largest weight/second largest weight RTM1= Largest total score/smallest total score. RTM2= Largest total score/second largest total score 1. Extract various decisions by the required criteria rather than selecting all the criteria at the same time. 2. Do a sampling and a test for significant differences in rating based on the friedman test. a. Value/Weight Computer 1 Computer 2 Computer 3 Affordability (0.6) 3 (0.2) 5 (0.333) 7 (0.467) Quality (0.3) 8 (0.534) 5 (0.333) 2 (0.133) Style (0.1) 9 (0.600) 4 (0.267) 2 (0.133) Total Score 5.1 (0.340) 4.9 (0.329) 5 (0.333) (Weighted Average) 3. From the statistics computer 1 would be the best. 2. (10 points) Apply AHP to re-compute the weights for the three values: Affordability, Quality, and Style in HW1 as the row averages of the pairwise comparison matrix. Compute Cl of the matrix; if it is greater than 0.05, then modify the matrix to make it totally consistent by making the least confident pairwise comparison be consistent with the other two comparisons. However, as an exercise, even if your matrix is sufficiently consistent, please follow the same process to make it totally consistent. With this totally consistent matrix, compute RWA1, the ratio of the largest to the smallest weights, and RWA2, the ratio of the largest to the second largest weights for AHP, and compare them respectively the ratios RWM1 and RWM2 from Multifactor Evaluation in HW1 to see whether the AHP ratios are greater, implying that the AHP weights are more differentiated than the weights that are generally less precisely assigned in HW1