The 90% confidence interval is (67.18, 68.82). The 95% confidence interval is (67.02, 68.98). The 95% confidence interval is wider. If you look at the graphs, because the area 0.95 is larger than the area 0.90, it makes sense that the 95% confidence interval is wider. A confidence interval is a range around a measurement that conveys how precise the measurement is. For most chronic disease and injury programs, the measurement in question is a proportion or a rate (the percent of New Yorkers who exercise regularly or the lung cancer incidence rate). Confidence intervals are often seen on the news when the Confidence Interval = x +/- z*(s/√ n) where: x: sample mean; z: z-value that corresponds to confidence level; s: sample standard deviation; n: sample size; To create a confidence interval for a population mean, simply fill in the values below and then click the “Calculate” button: A student was asked to find a 98% confidence interval for the proportion of students who take notes using data from a random sample of size n = 82. Which of the following is a correct interpretation of the interval 0.11

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