A park ranger asked a random sample of visitors how far they hiked during their visit. Based on the responses, the estimated mean was found to be4.5miles, with an associated margin of error of0.5miles. Which of the following is the best conclusion from these data?

A sample is taken from a population of 10,000 to estimate the mean value of a quantity of interest for that population.Question 18Assuming all those sampled produce a response, which one of the following is NOT a valid statement?The larger the sample size the more accurate will be the estimate of the population mean valueFor any given sample size, if the population had been 20,000 rather than 10,000 the accuracy of the estimate of the mean value would have been significantly lower.The greater the variance of the quantity of interest in the population, the less accurate will be the estimate of the population mean valueThe width of any confidence interval for the estimate of the population mean will be halved if the sample size is quadrupled

Question 3In a survey about a new gardening product, 80% of respondents report they would buy the product again. The margin of error for the survey is 5%. Based on that margin of error, what range reflects the population's true response?

A survey was given to a random sample of the residents of a town to determine whether they support a new plan to raise taxes in order to increase education spending.  The percentage of people who said they favored the plan was 42%.  The margin of error for the survey was 1.5%.  Which of the following is not a reasonable value for the actual percentage of the residents that support the tax plan?

A study was commissioned to find the mean weight of the residents in certain town. The study found the mean weight to be 165 pounds with a margin of error of 8 pounds. Which of the following is not a reasonable value for the true mean weight of the residents of the town?

Which of the following is an estimate of the standard error of the mean?Group of answer choicesThe standard deviation of returns divided by the square root of the number of observationsThe average annual rate of return divided by the square root of the number of observationsThe variance of returns divided by the square root of the number of observationsThe variance divided by the number of observations