(c) If the confidence levels were 98% rather than 80%, would the margin of error be larger or smaller than the result in part (a)? Explain.
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- What is meant by the sample space of an experiment?What is an experiment?A statistics student wants to conduct a study to determine the proportion of workers in Cititon who commute to another town for work. If the student wants a 90% confidence interval with a margin of error of 2%, how many workers should be in her sample?
- A magazine provided results from a poll of 1500 adults who were asked to identify their favorite pie. Among the 1500 respondents, 11% chose chocolate pie, and the margin of error was given as ±4 percentage points. Given specific sample data, which confidence interval is wider: the 90% confidence interval or the 80% confidence interval? Why is it wider? a. 90%confidence interval must be wider than an 80% confidence interval in order to be more confident that it captures the true value of the population proportion. b. An 80% confidence interval must be wider than a 90% confidence interval because it contains 100%−80%=20% of the true population parameters, while the 90% confidence interval only contains 100%−90%=10% of the true population parameters. c. A 90% confidence interval must be wider than an 80% confidence interval because it contains 90% of the true population parameters, while the 80% confidence interval only contains 80% of the true population…Imagine that the confidence interval around a candidate's popularity score is [37.22,48.86],what is the point estimate?Suppose that, for budget planning purposes, the city in the previous exercise needs a better estimate of the mean daily income from parking fees. a) Someone suggests that the city use its data to create a 95% confidence interval instead of the 90% interval first created. How would this interval be better for the city? (You need not actually create the new interval.) b) How would the 95% interval be worse for the planners? c) How could they achieve an interval estimate that would better serve their planning needs?
- A researcher finds that individuals with a high school education or less are more likely to have hypertension than individuals with at least some college education. They report a relative risk of 2.1 with a 95% confidence interval or (1.6, 2.5). They then stratify their analysis by smoking status and report a relative risk of hypertension in smokers with a high school education or less as compared to smokers with at least some college education of 1.4 with a 95% confidence interval of (0.9, 1.9), and a relative risk of hypertension in non-smokers with a high school education or less as compared to non-smokers with at least some college education of 2.6 with a 95% confidence interval of (2.1, 3.2), Which of the following is not true? A) there is effect modification by smoking status B) there is effect modification by hypertension status C) there is no statistically significant assocation between education and hypertension amoung smokers D) Education and hypertension are not…In justifying a claim, How can we know that there is convincing evidence and do not have convincing evidence based on the confidence interval? Why is it in the first example, there is convincing evidence, but in the second one there is no convincing evidence?