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image below. The student could not explain why he did not see about 90 of the confidence intervals capturing the population proportion of 0.24. Please select the answer choice that provides the best explanation to this student. Confidence intervals for P. p=0.24, Type Standard-Wald Astatistics student ran StatCrunch's confidence interval applet for a proportion with a population proportion of 0.24, à 90% Confiderce levei, Sample sire=12 CI Level Containing p Total Proportion 0.9 100 0.77 77 Jatera I to O a. It is impossible to use a population proportion even when using simulations to illustrate major concepts O b. Although 77 intervals capturing p is less than 90, the difference was simply due to chance. Oc The Central Limit Theorem condition of np2 10 and/or n(1 - p) 2 10 does not hold Od. The 100 confidence intervals were not generated randomly.

image below. The student could not explain why he did not see about 90 of the confidence intervals capturing the population proportion of 0.24. Please select the answer choice that provides the best explanation to this student. Confidence intervals for P. p=0.24, Type Standard-Wald Astatistics student ran StatCrunch's confidence interval applet for a proportion with a population proportion of 0.24, à 90% Confiderce levei, Sample sire=12 CI Level Containing p Total Proportion 0.9 100 0.77 77 Jatera I to O a. It is impossible to use a population proportion even when using simulations to illustrate major concepts O b. Although 77 intervals capturing p is less than 90, the difference was simply due to chance. Oc The Central Limit Theorem condition of np2 10 and/or n(1 - p) 2 10 does not hold Od. The 100 confidence intervals were not generated randomly.

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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image below. The student could not explain why he did not see about 90 of the confidence intervals capturing the population proportion of 0.24. Please select the answer choice that provides the best explanation to this student. Confidence intervals for P. p=0.24, Type Standard-Wald A statistics student ran StatCrunch's confidence interval applet for a proportion with a population proportion of 0.24, a 90% confidence level, and a sample size of 12. The results of 100 simulated confidence intervals appear in the Sample size=12 CI Level Contalning p Total Proportion 77 0.9 100 0.77 O a. It is impossible to use a population proportion even when using simulations to illustrate major concepts. O b. Although 77 intervals capturing p is less than 90, the difference was simply due to chance. O. The Central Limit Theorem condition of np 2 10 and/or n(1 - p) > 10 does not hold. O d. The 100 confidence intervals were not generated randomly.
Transcribed Image Text:image below. The student could not explain why he did not see about 90 of the confidence intervals capturing the population proportion of 0.24. Please select the answer choice that provides the best explanation to this student. Confidence intervals for P. p=0.24, Type Standard-Wald A statistics student ran StatCrunch's confidence interval applet for a proportion with a population proportion of 0.24, a 90% confidence level, and a sample size of 12. The results of 100 simulated confidence intervals appear in the Sample size=12 CI Level Contalning p Total Proportion 77 0.9 100 0.77 O a. It is impossible to use a population proportion even when using simulations to illustrate major concepts. O b. Although 77 intervals capturing p is less than 90, the difference was simply due to chance. O. The Central Limit Theorem condition of np 2 10 and/or n(1 - p) > 10 does not hold. O d. The 100 confidence intervals were not generated randomly.
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