What decision is reached when α is greater than the p value
Critical regions get larger as α values get smaller. T or F, and why or why not?
What decision is reached when α is greater than the p value? Why is this decision reached?
This statement is false because alpha represents the maximum probability of a type 1 error that we are willing to accept. The critical regions move out towards the tails of the distribution as alpha gets smaller. Critical regions are formed by proportions of distributions that are represented by alpha. When alpha = 0.1, 10%……………….