6. We build confidence Intervals around the sample mean in order to estimate where the population mean would be, in relation to the sample mean, ifwe in fact we knew the population mean. T F 7. We want SEM to be large in our studies. T F 8. When the sample size is increased, from 10 to let's say 20, given that the variability remains constant, the resulting SEM will become larger. T F 9. As the confidence intervals become larger (e.g., from 68% to 95% to 99%}, the chances of us being "wrong" in estimating whether the population and sample means are within those intervals, become smaller and smaller. T F 10. The chances of our inferences not being correct, if we were to carryr out a particular study over and over again, is depicted in statistics by the value of alpha. T F