The population standard deviation for the height of college football players is 2.7 inches. If we want to estimate a 95% confidence interval for the population mean height of these players with a 0.65 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: A researcher would like to estimate the proportion of all children that have been diagnosed with Autism Spectrum Disorder (ASD) in their county. They are using 97% confidence level and the CDC national estimate that 1 in 68 0.0147 children are diagnosed with ASD. What sample size should the researcher use to get a margin of error to be within 1.5%? Round up to the nearest integer, do not include decimals. Answer Question 3 options: The population standard deviation for the height of college basketball players is 2.4 inches. If we want to estimate 97% confidence interval for the population mean height of these players with a 0.35 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 2.9 inches. If we want to estimate a 99% confidence interval for the population mean height of these players with a 0.45 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 Medicare-for-all in 2019. If we want to estimate 95% confidence interval for the true proportion of Americans who support Medicare-for-all in 2019 with a 0.175 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) A random sample of college basketball players had an average height of 67.45 inches. Based on this sample, (64.9, 69.2) found to be a 95% confidence interval for the population mean height of college basketball players. Select the correct answer to interpret this interval.

Question 6 options:

95% of college basketball players have height between 64.9 and 69.2 inches.

There is a 95% chance that the population mean height of college basketball players is between 64.9 and 69.2 inches.

We are 95% confident that the population mean height of college basketball players is between 64.9 and 69.2 inches.

We are 95% confident that the population mean height of college basketball players is 67.45 inches.

Question 7 options: There is no prior information about the proportion of Americans who support gun control in 2019. If we want to estimate 97% confidence interval for the true proportion of Americans who support gun control in 2019 with a 0.27 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) Suppose a marketing company computed a 96% confidence interval for the true proportion of customers who click on ads on their smartphones to be (0.59 , 0.71). Select the correct answer to interpret this interval

Question 8 options:

We are 96% confident that the true proportion of customers who click on ads on their smartphones is 0.71.

There is a 96% chance that the true proportion of customers who click on ads on their smartphones is between 0.59 and 0.71.

We are 96% confident that the true proportion of customers who click on ads on their smartphones is between 0.59 and 0.71.

96% of customers click on ads on their smartphones.

Question 9 options: A teacher wanted to estimate the proportion of students who take notes in her class. She used data from a random sample of size n = 76 and found that 45 of them took notes. The 97% confidence interval for the proportion of student that take notes is: < p < . Round answers to 3 decimal places. A survey asked people if they were aware that maintaining a healthy weight could reduce the risk of stroke. A 97% confidence interval was found using the survey results to be (0.45, 0.67). What is the correct interpretation of this interval?

Question 10 options:

There is a 97% chance that the sample proportion of people that are aware that maintaining a healthy weight could reduce the risk of stroke is between 0.45 and 0.67.

There is a 97% chance of having a stroke if you do not maintain a healthy weight.

We are 97% confident that the interval 0.45 to 0.67 contains the population proportion of people that are aware that maintaining a healthy weight could reduce the risk of stroke.

There is a 97% chance that the proportion of people that will have a stroke is between 45% and 67%.