Question 1 Express the confidence interval (0.079,0.129) in the form of p−E

order to estimate the mean amount of time computer users spend on the internet each month, how many computer users must be surveyed in order to be 95% confident that your sample mean is within 15 minutes of the population mean? Assume that the standard deviation of the population of monthly time spent on the internet is 190 min. What is a major obstacle to getting a good estimate of the population mean? Use technology to find the estimated minimum required sample size. The minimum sample size required is ??? computer users. What is a major obstacle to getting a good estimate of the population mean? A. It is difficult to precisely measure the amount of time spent on the internet, invalidating some data values. B. There may not be 617 computer users to survey. C. The data does not provide information on what the computer users did while on the internet. D. There are no obstacles to getting a good esitmate of the population mean Question 8 If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? Choose the correct answer below. A. Yes. The presence of a linear correlation between two variables implies that one of the variables is the cause of the other variable. B. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable Question 10 For a sample of eight bears, researchers measured the distances around the bears' chests and weighed the bears. Minitab was used to find that the value of the linear correlation coefficient is requals=0.871. Using alphaαequals=0.05, determine if there is a linear correlation between chest size and weight. What proportion of the variation in weight can be explained by the linear relationship between weight and chest size? a. Is there a linear correlation between chest size and weight? A. Yes, because the absolute value of the test statistic exceeds the critical value of 0.707. B. No, because the absolute value of the test statistic exceeds the critical value of 0.707. C. Yes, because the test statistic falls between the critical −0.707 and 0.707. D. The answer cannot be determined from the given information. What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?