MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Can you explain 3.32? Thank you
Page 230 of the popuration parameter and use appropriate notation for your answer. 3.32 What Percent of the US Population Are Senior Citizens? People 65 years and older are the fastest growing segment of the US population, and constituted 13% of the population in 2010.19 Figure 3.10 shows sample proportions fro sampling distributions of the proportion 65 years and older in the US: One shows samples of size 100, and the other shows samples of size 1000. two (a) What is the center of both distributions? (b) What is the approximate minimum and maxi- mum of each distribution? (c) Give a rough estimate of the standard error in each case. (d) Suppose you take one more sample in each case. Would a sample proportion of 0.17 (that is, 17% senior citizens in the san ple) be surprising to see from a sample of size 100? Would it be sur- prising from a sample of size 1000? 0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21 0.23 0.25 Proportion Age 65+ (n=100) 0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21 0.23 0.25 Proportion Age 65+ (n=1000) Figure 3.10 Sampling distributions for n = 100 and n-1000 Departm The datas for all 11 degree is variable s each of th (a) Use S dom s Indica the sa (b) Repea calcul (c) Find t ulation correc the ac in par mean. (d) Suppo means popula you ex 3.34 Avera NFL Contr millions of ers on a N the start of (a) Use Ste dom sa ues. Inc comput (b) Repeat 5 value selected
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Transcribed Image Text:Page 230 of the popuration parameter and use appropriate notation for your answer. 3.32 What Percent of the US Population Are Senior Citizens? People 65 years and older are the fastest growing segment of the US population, and constituted 13% of the population in 2010.19 Figure 3.10 shows sample proportions fro sampling distributions of the proportion 65 years and older in the US: One shows samples of size 100, and the other shows samples of size 1000. two (a) What is the center of both distributions? (b) What is the approximate minimum and maxi- mum of each distribution? (c) Give a rough estimate of the standard error in each case. (d) Suppose you take one more sample in each case. Would a sample proportion of 0.17 (that is, 17% senior citizens in the san ple) be surprising to see from a sample of size 100? Would it be sur- prising from a sample of size 1000? 0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21 0.23 0.25 Proportion Age 65+ (n=100) 0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21 0.23 0.25 Proportion Age 65+ (n=1000) Figure 3.10 Sampling distributions for n = 100 and n-1000 Departm The datas for all 11 degree is variable s each of th (a) Use S dom s Indica the sa (b) Repea calcul (c) Find t ulation correc the ac in par mean. (d) Suppo means popula you ex 3.34 Avera NFL Contr millions of ers on a N the start of (a) Use Ste dom sa ues. Inc comput (b) Repeat 5 value selected
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