1- Because the conclusions at which one arrives via inferential statistics are probability- based, there is always a chance they could be wrong. In other words, inferential statistics don't allow us...

Extracted text: 1- Because the conclusions at which one arrives via inferential statistics are probability- based, there is always a chance they could be wrong. In other words, inferential statistics don't allow us to be 100 percent certain about anything. True False 2- The sampling distribution of the mean is an empirical distribution in the sense that you have to calculate an infinite number of sample means before you can use it to estimate the parameters of the population from which the samples were drawn. True False 3- The sampling distribution of the mean is normal in shape. True False 4- It's possible to be 100 percent certain that the mean of the population falls within a given range as long as you use the z score for a 100 percent confidence interval in your calculations. True False