An American study published in a recent year claimed to find evidence of voting by noncitizens. The conclusion was based largely on a survey several years prior in which approximately​ 38,000 registered voters were asked both whether they voted and whether they were citizens. A total of 339 of those surveyed reported being​ noncitizens, and a total of 48 of these people also said they voted. Complete parts​ (a) through​ (d) below. Based on the​ survey, what percentage of noncitizens claim to have​ voted? One difficulty with any survey is response​ error, in​ which, for​ example, people accidentally check the wrong box. Suppose that the response error rate for this survey was only​ 0.1%, meaning that​ 99.9% of those surveyed answered the survey questions accurately. How many people would have answered the citizenship question​ incorrectly? Assume that the result from part​ (b) represents citizens who accidentally said they were noncitizens when they were​ citizens, and that all these people voted. If all other results from this survey were​ accurate, how would this one set of errors change the number of noncitizens who​ voted? How large a response error could have accounted for all the noncitizen voting found in the​ survey? The original survey was repeated two years​ later, with some​ (but not​ all) of the same people asked the same questions about citizenship and voting status that year. There were indeed changes in responses to the citizenship question among those who participated in the survey both​ times, suggesting response errors. In​ addition, a total of 85 people claimed to be noncitizens in both​ surveys, and among these zero reported having voted. How does this result support the claims of those people who say the study was flawed and​ that, in​ fact, it offered no evidence of noncitizen​ voting?

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An American study published in a recent year claimed to find evidence of voting by noncitizens. The conclusion was based largely on a survey several years prior in which approximately​ 38,000 registered voters were asked both whether they voted and whether they were citizens. A total of 339 of those surveyed reported being​ noncitizens, and a total of 48 of these people also said they voted. Complete parts​ (a) through​ (d) below.

Based on the​ survey, what percentage of noncitizens claim to have​ voted?

One difficulty with any survey is response​ error, in​ which, for​ example, people accidentally check the wrong box. Suppose that the response error rate for this survey was only​ 0.1%, meaning that​ 99.9% of those surveyed answered the survey questions accurately. How many people would have answered the citizenship question​ incorrectly?
 
Assume that the result from part​ (b) represents citizens who accidentally said they were noncitizens when they were​ citizens, and that all these people voted. If all other results from this survey were​ accurate, how would this one set of errors change the number of noncitizens who​ voted? How large a response error could have accounted for all the noncitizen voting found in the​ survey?
 
The original survey was repeated two years​ later, with some​ (but not​ all) of the same people asked the same questions about citizenship and voting status that year. There were indeed changes in responses to the citizenship question among those who participated in the survey both​ times, suggesting response errors. In​ addition, a total of 85 people claimed to be noncitizens in both​ surveys, and among these zero reported having voted. How does this result support the claims of those people who say the study was flawed and​ that, in​ fact, it offered no evidence of noncitizen​ voting?
 
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