Question
The population standard deviation for the height of college baseball players is 3.0 inches. If we want to estimate 95% confidence interval for the population
The population standard deviation for the height of college baseball players is 3.0 inches. If we want to estimate 95% confidence interval for the population mean height of these players with a 0.68 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number, do not include any decimals) Answer: Question 2 options: There is no prior information about the proportion of Americans who support gun control in 2019. If we want to estimate 93% confidence interval for the true proportion of Americans who support gun control in 2019 with a 0.18 margin of error, how many randomly selected Americans must be surveyed? Answer: (Round up your answer to nearest whole number, do not include any decimals) Question 3 options: The population standard deviation for the height of college hockey players is 3.2 inches. If we want to estimate 95% confidence interval for the population mean height of these players with a 0.55 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number, do not include any decimals) Answer: Question 4 options: The population standard deviation for the height of college basketball players is 3.1 inches. If we want to estimate 99% confidence interval for the population mean height of these players with a 0.58 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number, do not include any decimals) Answer: Question 5 options: There is no prior information about the proportion of Americans who support free trade in 2019. If we want to estimate a 98% confidence interval for the true proportion of Americans who support free trade in 2019 with a 0.21 margin of error, how many randomly selected Americans must be surveyed? Answer: (Round up your answer to nearest whole number, do not include any decimals) Question 6 options: The population standard deviation for the height of college basketball players is 3.4 inches. If we want to estimate 99% confidence interval for the population mean height of these players with a 0.43 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number, do not include any decimals) Answer: Question 7 options: The FDA regulates that fresh Albacore tuna fish that is consumed is allowed to contain 0.82 ppm of mercury or less. A laboratory is estimating the amount of mercury in tuna fish for a new company and needs to have a margin of error within 0.023 ppm of mercury with 97% confidence. Assume the population standard deviation is 0.143 ppm of mercury. What sample size is needed? Round up to the nearest integer, do not include any decimals. Answer: Question 8 options: In a random sample of 80 people, 52 consider themselves as baseball fans. Compute a 92% confidence interval for the true proportion of people consider themselves as baseball fans and fill in the blanks appropriately. We are 92% confident that the true proportion of people consider themselves as baseball fans is between and . (round to 3 decimal places) In a random sample of 145 people, 112 said that they watched educational TV. Find the 93% confidence interval of the true proportion of people who watched educational TV.
Question 9 options:
0.4578 < latex.gif< 0.8924
0.7542 < latex.gif< 0.8356
0.6101 < latex.gif< 0.7399
.7093 < latex.gif< .8355
A random sample of 145 people was selected and 13% of them were left handed. Find the 97% confidence interval for the proportion of left-handed people.
Question 10 options:
(.13, .87)
(0.1125, .1576)
(0.0764, 0.1636)
(0.069, 0.191)
(0.0836, 0.1764)
A recent study of 600 Internet users in Europe found that 335 of Internet users were women. What is the 98% confidence interval estimate for the true proportion of women in Europe who use the Internet?
Question 11 options:
0.567 to 0.769
0.511 to 0.605
0.316 to 0.384
0.454 to 0.676
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