QM Section 4

QM Section 4

Assessment

Quiz

Created by

Leonie Gayer

Business

University

3 plays

Medium

Student preview

quiz-placeholder

8 questions

Show all answers

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