
QM Section 4
Quiz
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Business
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University
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Practice Problem
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Medium
Leonie Gayer
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8 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Cluster analysis has been used in marketing for all of the purposes below except ________.
determining how strongly sales are related to advertising expenditures
identifying new product opportunities by clustering brands and products so that competitive sets within the market can be determined
segmenting the market based on benefits sought from the purchase of a product
selecting test markets
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A ________ is a lower-triangle matrix containing pairwise distances between objects or cases.
distance coefficient mat
classification matrix
factor matrix
correlation matrix
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The most commonly used measure of (dis)similarity is the ________ or its square.
Chebychev's distance
Manhattan distance
Euclidean distance
City block distance
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
________ is a clustering procedure where each object starts out in a separate cluster.
Non-hierarchical clustering
Divisive clustering
Agglomerative clustering
Hierarchical clustering
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
________ is a clustering procedure where all objects start out in one giant cluster. Clusters are formed by dividing this cluster into smaller and smaller clusters.
Divisive clustering
Agglomerative clustering
Hierarchical clustering
Non-hierarchical clustering
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The ________ method uses information on all pairs of distances, not merely the minimum or maximum distances.
single linkage
average linkage
complete linkage
medium linkage
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following is a variance method of clustering?
optimizing partitioning
sequential threshold
complete linkage
Ward's method
8.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
________ involves examining the cluster centroids.
Interpreting and profiling the clusters
Deciding on the number of clusters
Assessing reliability and validity
Selecting a clustering procedure
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