Explain why increasing the sample size tends to result in a smaller sampling error when a sample mean is used to estimate a population mean. a. the above statement is incorrect, the sample size has no effect on the sampling error. b. the larger the sample size, the more closely the possible values of \bar{x} cluster around the mean of \bar{x} c. if the sample size is larger, the possible values of \bar{x} are farther from the mean of \bar{x},

Can someone me and plz do the problem

Solve the following inequalities and show the solution on a number line. 3/4 (2x-7) ≤ 5

Suppose that 3% of all athletes are using the endurance-enhancing hormone epo (you should be able to simply compute the percentage of all athletes that are not using epo). for our purposes, a “positive” test result is one that indicates presence of epo in an athlete’s bloodstream. the probability of a positive result, given the presence of epo is .99. the probability of a negative result, when epo is not present, is .90. what is the probability that a randomly selected athlete tests positive for epo? 0.0297