Which of the following statements on type i and type II errors is correct?A type II error is the inability to reject a wrong null hypothesis.A type II error is the rejection of a true null hypothesisA type I error is the inability to reject a wrong null hypothesis.A type I error is the rejection of a true null hypothesis. Which kind of relation do we have between Type I and II errors?The probability of a Type II error increases as the probability of a Type i error increases.Type I and II errors are independent.The probability of a Type II error decreases as the probability ofa Type I error increases.Type I and II errors are directly proportional. Consider to choose among tests, in order to achieve a given power level. In other words, you have a target power for your test, which statement is correct?We cannot increase power by choosing a larger alpha level.Other things being equal, for a greater effect size we need a larger sample size to achieve the target power.We cannot increase power by choosing a larger sample size.A smaller alpha level typically requires a larger sample to achieve the target power. A scatter plot of number of teachers (T) and number of people with University degrees in Dutch cities (P) shows a positive relation. Which is the most likely explanation for this positive association?Teachers at any school...