Data Analysis

Data Analysis

University

20 Qs

quiz-placeholder

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Data Analysis

Data Analysis

Assessment

Quiz

Social Studies

University

Hard

Created by

DR SITTI SYAMSIAR MUHARRAM

Used 15+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following cannot be applied to quantitative market research?

Deals with questions such as how much, how many and how often

Is based on numerical data and information

Is based on only using primary research techniques

Uses hard data and facts to aid statistical analyses

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The main purpose of a researcher using qualitative research is to

Communicate statistical analysis of factual findings

Formulate organizational decision making

Gather the views of a small group of people before the mass launch of a product

Understand the behavior, attitudes and perceptions of selected sample

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Questionnaires can be used to collect qualitative and quantitative data

True

False

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Research carried out via in-depth interviews in order to determine the reasons behind consumers' attitudes and opinions is best described as

Market research

Qualitative research

Quantitative research

Secondary research

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Market research that gathers statistical data is known as

Desk research

Field research

Quantitative research

Qualitative research

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The difference between quantitative and qualitative market research is that

Only the former method can be statistically analysed

The former method uses a large sample size

The former relies on primary research whilst the latter relies on secondary

The latter method relies on a much larger number of respondents to get a statistically valid set of answers

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why do we use regression analysis?

to know the known effect of changing one variable to other

to approximate and characterize data

to estimate how much Y changes when X changes one unit

to produce non-quantifiable information

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