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estion 2 ㄹ ording to GSMA real-time intelligence data, 61.22% of the world's population have a mobile device (cell ne, tablet orcellular enabled loT devices). A random sample of size 4 was obtained. Let > be the portion of the sample that have a mobile device (cell phone, tablet orcellular enabled loT devices). lain why the Central Limit Theorem for Proportions can or can not be applied: Central Limit Theorem for Proportions Select an answer be applied because Select an answer can not can Select an answer Select an answer the sample is large enough, i.e. np>10 and n(1-p)>10 the sample is large enough but the sampling technique is biased the sample is large enough but not random the Central Limit Theorem can be used only for sample means or sums the sample is not large enough, i.e. np<10 or n(1-p)<10

estion 2 ㄹ ording to GSMA real-time intelligence data, 61.22% of the world's population have a mobile device (cell ne, tablet orcellular enabled loT devices). A random sample of size 4 was obtained. Let > be the portion of the sample that have a mobile device (cell phone, tablet orcellular enabled loT devices). lain why the Central Limit Theorem for Proportions can or can not be applied: Central Limit Theorem for Proportions Select an answer be applied because Select an answer can not can Select an answer Select an answer the sample is large enough, i.e. np>10 and n(1-p)>10 the sample is large enough but the sampling technique is biased the sample is large enough but not random the Central Limit Theorem can be used only for sample means or sums the sample is not large enough, i.e. np<10 or n(1-p)<10

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question 2 KY According to GSMA real-time intelligence data, 61.22% of the world's population have a mobile device (cell phone, tablet orcellular enabled loT devices). A random sample of size 4 was obtained. Let > be the proportion of the sample that have a mobile device (cell phone, tablet orcellular enabled loT devices). Explain why the Central Limit Theorem for Proportions can or can not be applied: The Central Limit Theorem for Proportions Select an answer be applied because Select an answer can not can Select an answer Select an answer the sample is large enough, i.e. np>10 and n(1-p)>10 the sample is large enough but the sampling technique is biased the sample is large enough but not random the Central Limit Theorem can be used only for sample means or sums the sample is not large enough, i.e. np<10 or n(1-p)<10
Transcribed Image Text:Question 2 KY According to GSMA real-time intelligence data, 61.22% of the world's population have a mobile device (cell phone, tablet orcellular enabled loT devices). A random sample of size 4 was obtained. Let > be the proportion of the sample that have a mobile device (cell phone, tablet orcellular enabled loT devices). Explain why the Central Limit Theorem for Proportions can or can not be applied: The Central Limit Theorem for Proportions Select an answer be applied because Select an answer can not can Select an answer Select an answer the sample is large enough, i.e. np>10 and n(1-p)>10 the sample is large enough but the sampling technique is biased the sample is large enough but not random the Central Limit Theorem can be used only for sample means or sums the sample is not large enough, i.e. np<10 or n(1-p)<10
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