5. Critical Thinking Numbers are often assigned to data that are categorical in nature.(a) Consider these number assignments for category items describing electronic ways ofexpressing personal opinions:1 = Twitter; 2 = e-mail; 3 = text message; 4 = Facebook; 5 = blogAre these numerical assignments at the ordinal data level or higher?Explain.(b) Consider these number assignments for category items describing usefulness of customerservice:1 = not helpful; 2 = somewhat helpful; 3 = very helpful;4 = extremely helpfulAre these numerical assignments at the ordinal data level? Explain. Whatabout at the interval level or higher? Explain.
5. Critical Thinking Numbers are often assigned to data that are categorical in nature.(a) Consider these number assignments for category items describing electronic ways ofexpressing personal opinions:1 = Twitter; 2 = e-mail; 3 = text message; 4 = Facebook; 5 = blogAre these numerical assignments at the ordinal data level or higher?Explain.(b) Consider these number assignments for category items describing usefulness of customerservice:1 = not helpful; 2 = somewhat helpful; 3 = very helpful;4 = extremely helpfulAre these numerical assignments at the ordinal data level? Explain. Whatabout at the interval level or higher? Explain.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 22PFA
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5. Critical Thinking Numbers are often assigned to data that are categorical in nature.
(a) Consider these number assignments for category items describing electronic ways of
expressing personal opinions:
1 = Twitter; 2 = e-mail; 3 = text message; 4 = Facebook; 5 = blog
Are these numerical assignments at the ordinal data level or higher?
Explain.
(b) Consider these number assignments for category items describing usefulness of customer
service:
1 = not helpful; 2 = somewhat helpful; 3 = very helpful;4 = extremely helpful
Are these numerical assignments at the ordinal data level? Explain. What
about at the interval level or higher? Explain.
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