a) When 440 community college students were surveyed, 200 said they have a passport. Construct a 95% confidence interval for the proportion of community college students that have a passport. Round to the nearest thousandth. b) An article a Florida newspaper reported on the topics that teenagers most want to discuss with their parents. The findings, the results of a poll, showed that 46% would like more discussion about the family’s financial situation, 37% would like to talk about school, and 30% would like to talk about religion. These and other percentages were based on a national sampling of 546 teenagers. Estimate the proportion of all teenagers who want more family discussions about school. Use a 95% confidence level. Express the answer in the form ̂ and round to the nearest thousandth. c) A private opinion poll is conducted for a politician to determine what proportion of the population favors adding more national parks. How large a sample is needed in order to be 90% confident that the sample proportion will not differ from the true proportion by more than 5%?
I have a few questions:
a) When 440 community college students were surveyed, 200 said they have a
passport. Construct a 95% confidence interval for the proportion of community
college students that have a passport. Round to the nearest thousandth.
b) An article a Florida newspaper reported on the topics that teenagers most want to
discuss with their parents. The findings, the results of a poll, showed that 46%
would like more discussion about the family’s financial situation, 37% would like to
talk about school, and 30% would like to talk about religion. These and other
percentages were based on a national sampling of 546 teenagers. Estimate the
proportion of all teenagers who want more family discussions about school. Use a
95% confidence level. Express the answer in the form ̂ and round to the
nearest thousandth.
c) A private opinion poll is conducted for a politician to determine what proportion of
the population favors adding more national parks. How large a sample is needed in
order to be 90% confident that the sample proportion will not differ from the true
proportion by more than 5%?
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