MKT355 Multivariate Analysis

Question 1Suppose the data (known as raw data hereafter) collected for Q4 and Q5 include missing responses (less than 10% of total cases). The raw data needs to be treated before it is suitable for data analysis. Discuss one suitable option to treat the raw data for Q4 and Q5. Question 2You are given a TMA data file for Case 1.1 in the textbook. Read the case on the definitions of the data fields.
(a)Create more concise categorisations of the following variables. i.Recode q6: “If you could make your computer purchase decision again, how likely would you be to choose Dell? into a new column by keeping “1”, “2” as they are, and merging “3” & “4” as “3”. Rename the new column as “q6_Recoded”. ii.Recode q9_5per: “If the price of the Dell computer system you purchase had been 5% higher, and all other personal computer price had been the same, how likely would you have been to have purchased your Dell computer system?” into a new column by merging “1” & “2” as “1”, rename “3” as “2”, and merging “4” & “5” as “3”. Rename the new column as “q9_5per_Recoded”. You must change the two recoded variables and q4’s Data Type to Character, and Modelling Type to Nominal under Column Info to suit the analysis later. Present the recorded variables’ Frequency Distribution Table. Comment on the distributions. Note: You are not required to show the lists of recoded data.
(b)Examine the relationships between the variables by a two-way cross-tabulation for q9_5per_Recoded as Y, and q6_Recoded as X. Present the relevant JMP outputs, including Mosaic Plot. Observe and interpret the data trend in each category.
(c)Compute a three-way cross-tabulation for the same variables in Q2(b) with Q4 introduced as the grouping variable. Present your results for the cross-tabulation tables and compare the results for the very satisfied customers (Q4=1) with those from the two-way cross-tabulation. Finally, make recommendations to Dell’s management.

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