A website poll is accurate 99 times out of 100, which means A a 99% significance level B a conclusion will be wrong 1% of the time C a 1% CI level D a conclusion will be correct 1% of the time
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Question 10 (1 point) A poll having a confidence level of 95% means... Question 10 options: 1. there is a 5% chance that the conclusion drawn is incorrect 2. the pollsters are very confident that they did a good job 3. the sample contains 95% of the population 4. there is a 5% chance that the sample was biased
Ameer S.
(d) the sample is too small to draw any conclusion. (e) None of these. The Web portal AOL places opinion poll questions next to many of its news stories. Simply click your response to join the sample. One of the questions in January 2008 was "Do you plan to diet this year?" More than 30,000 people responded, with $68 \%$ saying "Yes." You can conclude that (a) about $68 \%$ of Americans planned to diet in 2008 . (b) the poll used a convenience sample, so the results tell us little about the population of all adults. (c) the poll uses voluntary response, so the results tell us little about the population of all adults.
Designing Studies
Sampling and Surveys
A polling website publishes the results of a new survey each day. At the end of the survey results, you'll find a statement that includes an explanation such as the one shown below. Complete parts a and b below. These results are based on face-to-face interviews with 1,000 adults, aged 15 and older, conducted in 2015 in several countries. For results based on the total sample of national adults, one can say with 95% confidence that the maximum margin of sampling error ranges from ± 3.4 percentage point to ± 4.0 percentage points. The margin of error reflects the influence of data weighting. In addition to sampling error, question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of public opinion polls. a) The website is interested in the opinions of residents of a certain region. What kind of survey design are they using? A. Stratified random sampling B. Multistage sampling C. Simple random sampling D. Cluster sampling b) Some of the countries surveyed have large populations. (One country surveyed is estimated to have over 50 million people.) Some are quite small. (Another country surveyed has fewer than 13,000,000 people.) If the website sampled 1000 adults in each country, how does this affect the precision of its estimates for these countries? A. The countries with a larger population will have a more accurate estimate because a smaller percentage of the population is included in the sample. B. The countries with a smaller population will have a more accurate estimate because a larger percentage of the population is included in the sample. C. The countries with a smaller population will have a less accurate estimate because a larger percentage of the population is included in the sample. D. The difference in population size has no effect whatever on the precision of estimates from these surveys. Only the sample size matters.
Varun I.
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