If an alpha level is set to 0.05 for a t test, what is the implication for the results of the test? a. There is a 5% chance that the results will be accurate. b. There is a 95% chance of correctly rejecting the null hypothesis. c. There is a 95% probability that the observed difference is due to chance. d. There is a 5% chance of making a Type I error if the null hypothesis is true.Inferences from sample data are unnecessary if the population parameter's value is already known. a. False b. True