What is the minimum sample size (whole number) for a study of STOP sign compliance with proportion of 0.3 drivers expected to obey the STOP sign. Compliance rate is estimated within permitted error of 7% at a confidence level of 0.938. Confidence Level 0.90 K value 326 O2668 82 O 153 1.645 0.95 1.960 0.96 2.054 0.98 2.326 0.99 2.576 0.998 3.090
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- What proportion of fish are inedible because of chemical pollution downstream of a factory? Find the sample size required to estimate the proportion of inedible fish accurate to within 0.13 at the 98% confidence levelA public health official in Indian River county needs to estimate the average diastolic blood pressure of all residents in Indian River county for a report that is being prepared for the Florida Department of Health.The official randomly selected 137 Indian River county residents and found that the mean diastolic blood pressure of the sample was 79 millimeters of mercury (mm Hg).Using a 95% confidence level, determine the margin of error, EE, and a confidence interval for the mean diastolic blood pressure of all Indian River county residents. From past research, it is known that the standard deviation of the distribution of all Indian River county residents' diastolic blood pressure is 7 mm Hg.Report the confidence interval using interval notation. Round solutions to two decimal places, if necessary.The margin of error is given by E=.A 95% confidence interval is given byA public health official in Okeechobee county needs to estimate the average diastolic blood pressure of all residents in Okeechobee county for a report that is being prepared for the Florida Department of Health.The official randomly selected 128 Okeechobee county residents and found that the mean diastolic blood pressure of the sample was 74 millimeters of mercury (mm Hg).Using a 98% confidence level, determine the margin of error, EE, and a confidence interval for the mean diastolic blood pressure of all Okeechobee county residents. From past research, it is known that the standard deviation of the distribution of all Okeechobee county residents' diastolic blood pressure is 5 mm Hg.Report the confidence interval using interval notation. Round solutions to two decimal places, if necessary.The margin of error is given by E=A 98% confidence interval is given by
- You want to analyze the travel-to-work time for Daly City residents. Suppose that a preliminary simple random sample of 34 residents of Daly City resulted in a planning value of 10 minutes for the population standard deviation. In order to estimate the population mean travel-to-work time for Daly City residents with a margin of error of no more than two minutes and a 95% confidence level, what is the minimum sample size that can be used?A public health official in Okeechobee county needs to estimate the average systolic blood pressure of all residents in Okeechobee county for a report that is being prepared for the Florida Department of Health. The official randomly selected 66 Okeechobee county residents and found that the mean systolic blood pressure of the sample was 122 millimeters of mercury (mm Hg). Using a 96% confidence level, determine the margin of error, E, and a confidence interval for the mean systolic blood pressure of all Okeechobee county residents. From past research, it is known that the standard deviation of the distribution of all Okeechobee county residents' systolic blood pressure is 9 mm Hg. Report the confidence interval using interval notation. Round solutions to two decimal places, if necessary. The margin of error is given by E= A 96% confidence interval is given by=Is sea level the same along all coastal regions? To examine this sample of 12 coastal locations in the Gulf Coast had mean sea level 5.3953m and standard deviation 2.2559m. A sample of 17 locations along the eastern seaboard had mean 3.4028m and standard deviation 1.036m. What is the point estimate for the difference in mean sea level? What is the standard error of the difference in means? What is the margin of error for a 99% confidence interval? Construct and interpret the confidence interval for the difference in mean sea level between the Gulf Coast and the eastern seaboard. Based on the interval, do you expect there to be evidence or little to no evidence for Ha: m = m2? Explain without conducting the hypothesis test.
- In order to determine the summer unemployment rate among college students, a pilot sample was taken ; and it was determined that ten percent of the individuals in the sample were unemployed. Using the results of the pilot study and a 95% confidence, what size sample would be required to estimate the proportion of umemployed college students if we want the margin of error not to exceed 3 percent?The number of television sets produced daily from an assembly line is normally distributed with a mean of 430 sets and standard deviation of 20 sets. For 30 randomly selected days of the production line (a) Construct a 95% confidence interval for the population mean number of sets per hour? (b) What is margin of error used in (a)? (c) What sample size should be taken so that a 95% confidence interval will have a margin of error less than 16 sets per day?Stainless steels can be susceptible to stress corrosion cracking under certain conditions. A materials engineer is interested in determining the proportion of steel alloy failures that are due to stress corrosion cracking. In the absence of preliminary data, what is the minimum sample size required to ensure a 95% confidence interval for p to within 0.02?
- . What sample size would be required to estimate the proportion of all hospital referrals to the health centre with a margin of error of 0.04 or less at 95% confidence?A poll of size 30 in a huge shopping mall found that 23 women wish to have an attraction area for kids in the mall. Determine the sample size that is required to estimate the population proportion of women who wish to have an attraction area, with errors of ±0.05 and 99% confidence levelFind the sample size necessary for a 99% confidence level with maximal margin of error E = 2.00 for the mean plasma volume in male firefighters. (Round up to the nearest whole number.) male firefighters=