Which of the following statements is true about interval and ratio scales?

2/25/2025

Quiz
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Business
•
University
•
Medium
Yinjie Pan
Used 1+ times
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11 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Both allow ranking, but only ratio scales have a true zero.
Interval scales allow multiplication and division, while ratio scales do not.
Both scales only categorize data but do not indicate order.
Neither scale allows for addition or subtraction of values.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A restaurant asks customers to rate their service experience on a scale of:
Poor
Fair
Good
Very Good
Excellent
What type of data is this?
Nominal Data
Ordinal Data
Ratio Data
Interval Data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A hospital collects information on patients' blood types (A, B, AB, O) for medical research.
What type of data is this?
Nominal Data
Ordinal Data
Interval Data
Ratio Data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A psychologist develops a customer satisfaction scale for hotels, where customers rate their experience on a 1 to 10 scale.
What type of data is this?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Nominal Data
Ordinal Data
Interval Data
Ratio Data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A fitness app tracks how many miles a runner completes each week.
What type of data is this?
Nominal Data
Ordinal Data
Interval Data
Ratio Data
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes the concept of measurement in marketing research?
The process of categorizing objects based on personal opinions.
The process of assigning numbers or descriptions to properties of an object.
The act of making assumptions about consumer behavior.
The process of guessing the characteristics of a target consumer.
7.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following is an example of subjective measurement?
Recording the number of times a customer visits a store per month.
Measuring a customer’s height in inches.
Tracking the total amount a customer spends in a year.
Asking customers how likely they are to purchase a product in the future.
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