Market Tests PDF
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Universidad Loyola
Universidad Loyola
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This document is a past paper, likely a mock theory test in marketing, focusing on various aspects of multivariate analysis and segmentation techniques.
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MOCK THEORY TEST (LESSON 7) QUESTIONS FALSE TRUE One of the objectives of multivariate analysis is to reduce the dimension of a data base 1 without losing information. 2 Frequencies and de...
MOCK THEORY TEST (LESSON 7) QUESTIONS FALSE TRUE One of the objectives of multivariate analysis is to reduce the dimension of a data base 1 without losing information. 2 Frequencies and descriptives are fundamental techniques in synthesis cases. 3 For an analysis of frequencies we can only use discrete variables. 4 The mean is the middle value when a data set is ordered from least to greatest. One of the outputs of contingency tables are statistic indicators that detect the 5 existence of relationship between variables. The cluster technique look for affinities among every individual to gather individuals 6 in groups. 7 A histogram represents a frequency distribution. 8 The cluster technique considers that the market is uniform. 9 Hierarchical clustering is used to obtain segments. One of the objectives of multivariate analysis is to establish relationships between 10 variables. 11 Contingency tables are not a fundamental technique in synthesis cases In hierarchical clustering when grouping several variables at least one of them must 12 be formulated as an interval or ratio scale. 13 In K-means clustering we don't’ need to specify the number of clusters to be formed. 14 In bi-stage clustering it is advisable to test with different observations orders. 15 Bi-stage clustering objective is to unveil natural groups in a data set. Hierarchical clustering delivers quantitative information and graphs expressing how 16 the clusters were formed in each stage. CHAID is an algorithm used to identify group of cases (or variables) relatively 17 homogeneous with regards to certain selected characteristics. Contingency tables input are discrete or continuos variables (defined by intervals) in 18 any measurement scale. 19 Hierarchical clustering is a segmentation technique. CHAID technique provides a segmentation chart for each segment with regards to 20 the dependent variable. MOCK THEORY TEST (LESSON 7) Keys to understand the “false” statements Question 3: In frequencies analysis the input can be both, discrete and continuous variables. Question 4: This is the definition of “median”, not “mean”. Question 8: It is the segmentation that considers the market uniform. Question 11: They are one of the fundamental synthesis cases as they offer a view on the relation of two isolated variables, summarising the information. Question 13: We need to specify the number of clusters. Question 17: That’s hierarchical clustering. Chi-Square Automatic Interaction Detector (CHAID) is an algorithm to study the relationship between a dependent variable and a series of predictor variables. Question 19: It is not, actually it is a pure segmentation technique.