1203

1203

University

10 Qs

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Assessment

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Education

University

Easy

Created by

Amirtha A

Used 1+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it crucial for organizations to use a combination of qualitative and quantitative research methods?
To confuse competitors with conflicting data
To limit the scope of research projects
To effectively understand customer preferences and market dynamics
To increase costs unnecessarily

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do surveys differ from focus groups in terms of data collection?
Surveys involve one-on-one conversations, while focus groups involve group discussions
Surveys collect data from a sample of individuals, while focus groups bring together a small group of individuals
Surveys are conducted in controlled environments, while focus groups are conducted in the field
Surveys collect qualitative data, while focus groups collect quantitative data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which research method is commonly used to gather insights on customer preferences and market trends?
Experiments
Surveys
Focus groups
Interviews

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using surveys as a business research method?
To manipulate variables and test hypotheses
To gather in-depth insights and perspectives
To analyze numerical data
To collect data from a sample of individuals

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of conducting interviews in business research?
To analyze numerical data
To gather in-depth insights and perspectives
To test hypotheses
To manipulate variables

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data and insights do focus groups help businesses gather?
Quantitative data
Numerical data
Qualitative data
Experimental data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What distinguishes data analysis from experiments in business research?
Data analysis is used for surveys, while experiments are used for interviews
Data analysis involves manipulating variables, while experiments involve analyzing numerical data
Data analysis identifies patterns and trends, while experiments test hypotheses and measure outcomes
Data analysis focuses on qualitative data, while experiments focus on quantitative data

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