Solve all this question......you will not solve all questions then I will give you down?? upvote...... When they send out their fundraising letter, a philanthropic organization typically gets a return from about 5% of the people on their mailing list. To see what the response rate might be for future appeals, they did a simulation using samples of size 20, 50, 100, and 200. For each sample sizethey simulated 1000 mailings with success rate p = 0.05 and constructed the histogram of the 1000 sample proportions, shown in the accompanying link. Explain what these histograms say about the sampling distribution model for sample proportions. Be sure to talk about shape, center.and spread.Click the icon to view histograms of the simulations.Discuss how the shape changes with sample size.OA.A. The distributions for small samples are left-skewed but are more symmetric as n increases.OB. The distributions for small samples are right-skewed and get more left-skewed as n increases.OC. The distributions for small samples are right-skewed but are more symmetric as n increases.O D.D. The distributions for small samples are left-skewed and get more right-skewed as n increases.O E.E. The shape does not change with sample size.Histograms of the SimulationsNumber of SanSamples of Size 20400-Samples of Size1002000.25Sample Proportions0.14Sample ProportionsQQLNumberNumber of SamplesSamples of Size 5300-Samples of Size200150-Sample Proporti0-Sample Proporti- X Discuss how the shape changes with sample size.OA. The distributions for small samples are left-skewed and get more right-skewed as n increases.OB. The distributions for small samples are left-skewed but are more symmetric as n increases.OC. The distributions for small samples are right-skewed and get more left-skewed as n increases.OD. The distributions for small samples are right-skewed but are more symmetric as n increases.OE. The shape does not change with sample size.Discuss how the center changes with sample size.OA. The center approaches the population proportion of 0.05 as n increases.OB. The center approaches the population proportion of 0.05 as n decreases.OC. The center varies seemingly independent of sample size.OD. The center does not change with sample size; all the histograms are centered near 0.05.Discuss how the variability changes with sample size.OA. As n gets smaller, the histograms approach the Normal shape, and the variability in the sample proportions decreases.OB. As n gets larger, the histograms approach the Normal shape, and the variability in the sample proportions increasesOC. As n gets smaller, the histograms approach the Normal shape, and the variability in the sample proportions increases.OD. As n gets larger, the histograms approach the Normal shape, and the variability in the sample proportions decreases

Sampling Distribution Model for Sample Proportions:The sampling distribution model for sample…

When they send out their fundraising letter, a philanthropic organization typically gets a return from about 5% of the people on their mailing list. To see what the response rate might be for future appeals, they did a simulation using samples of size 20, 50, 100, and 200. For each sample size they simulated 1000 mailings with success rate p=0.05 and constructed the histogram of the 1000 sample proportions, shown in the accompanying link. Explain what these histograms say about the sampling distribution model for sample proportions. Be sure to talk about shape, center. and spread. Click the icon to view histograms of the simulations. Discuss how the shape changes with sample size. OA. The distributions for small samples are left-skewed but are more symmetric as n increases. OB. The distributions for small samples are right-skewed and get more left-skewed as n increases. OC. The distributions for small samples are right-skewed but are more symmetric as n increases. OD. The distributions for small samples are left-skewed and get more right-skewed as n increases. O E. The shape does not change with sample size. Histograms of the Simulations Samples of Size 20 400- Samples of Size 5 300- X

When they send out their fundraising letter, a philanthropic organization typically gets a return from about 5% of the people on their mailing list. To see what the response rate might be for future appeals, they did a simulation using samples of size 20, 50, 100, and 200. For each sample size they simulated 1000 mailings with success rate p=0.05 and constructed the histogram of the 1000 sample proportions, shown in the accompanying link. Explain what these histograms say about the sampling distribution model for sample proportions. Be sure to talk about shape, center. and spread. Click the icon to view histograms of the simulations. Discuss how the shape changes with sample size. OA. The distributions for small samples are left-skewed but are more symmetric as n increases. OB. The distributions for small samples are right-skewed and get more left-skewed as n increases. OC. The distributions for small samples are right-skewed but are more symmetric as n increases. OD. The distributions for small samples are left-skewed and get more right-skewed as n increases. O E. The shape does not change with sample size. Histograms of the Simulations Samples of Size 20 400- Samples of Size 5 300- X

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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