Question 2KYAccording to GSMA real-time intelligence data, 61.22% of the world's population have a mobile device (cellphone, tablet orcellular enabled loT devices). A random sample of size 4 was obtained. Let > be theproportion 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 ProportionsSelect an answer be applied becauseSelect an answercan notcanSelect an answerSelect an answerthe sample is large enough, i.e. np>10 and n(1-p)>10the sample is large enough but the sampling technique is biasedthe sample is large enough but not randomthe Central Limit Theorem can be used only for sample means or sumsthe sample is not large enough, i.e. np<10 or n(1-p)<10

Given that Population proportion p=0.6122 Sample size n =4

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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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