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MARK 3000 Grantham UGA test 2 Questions and Correct Answers

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This document is the updated MARK 3000 Test 2 exam study guide containing exam questions with correct answers covering core marketing concepts taught at UGA and Grantham University. It focuses on marketing research, data analysis, consumer behavior, product strategy, branding, new product development, pricing strategies, distribution channels, supply chain management, and promotion fundamentals. The material is organized for efficient review and is ideal for reinforcing key terminology, concepts, and frameworks commonly tested on the MARK 3000 Test 2 exam.

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Subido en
3 de enero de 2026
Número de páginas
35
Escrito en
2025/2026
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Examen
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MARK 3000 Grantham UGA test 2
Questions and Correct Answers



marketing research
a set of techniques and principles for systematically collecting, recording,
analyzing, and interpreting data that can aid decision makers involved in
marketing goods, services, or ideas




marketing research process
1. Defining the objectives and research needs
2. Designing the research
3. Data collection process
4. Analyzing data and developing insights
5. Action plan and implementation




secondary data
pieces of information that have already been collected from other sources and
usually are readily available

,primary data
data collected to address specific research needs




sample
a group of customers who represent the customers of interest in a research study




data
raw numbers or facts




information
organized, analyzed, interpreted data that offer value to marketers




syndicated data
Data available for a fee from commercial research firms such as Information
Resources Inc. (IRI), National Purchase Diary Panel, and ACNielsen.




scanner data
a type of syndicated external secondary data used in quantitative research that is
obtained from scanner readings of UPC codes at check-out counters

,panel data
information collected from a group of consumers




data warehouses
large computer files that store millions and even billions of pieces of individual
data




data mining
the use of a variety of statistical analysis tools to uncover previously unknown
patterns in the data stored in databases or relationships among variables




churn
the number of consumers who stop using a product or service, divided by the
average number of consumers of that product or service




big data
data sets that are too large and complex to analyze with conventional data
management and data mining software

, qualitative research
informal research methods, including observation, following social media sites, in-
depth interviews, focus groups, and projective techniques




quantitative research
structured responses that can be statistically tested to confirm insights and
hypotheses generated via qualitative research or secondary data




observation
an exploratory research method that entails examining purchase and consumption
behaviors through personal or video camera scrutiny




virtual community
online networks of people who communicate about specific topics




sentiment mining
data gathered by evaluating customer comments posted through social media
sites such as Facebook and Twitter
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