Let's explore a bit. (a) Why must the alternative hypothesis be the “principal” hypothesis from a practical point of view? (b) At what point in the monitoring procedure do we determine the significance level? (c) Why is the term “power of the test” very reasonable heuristically speaking? That is, why does it make sense from a practical, real-world point of view? (d) What is an hypothesis test “trying” to do? (e) By contrast, what is a test of significance “trying” to do? (f) The table which defines the types of error at the beginning of this subsection is unrealistic. What's unrealistic about that table? (g) Why, from a practical point of view, should the proportion of defective items from a production process be either more than one percent or less, but not EQUAL to one percent?(h) In speaking about the “irrelevant” values of p, we said “those values are irrelevant only from the point of view of the logic of the test, we do not claim they are irrelevant beyond the test itself.” Explain this. (i) Which decision is more conclusive, “act on Ho.” or “act on HA“? (j) What's wrong with this:
Let’s explore a bit. (a) Why must the alternative hypothesis be the “principal” hypothesis…
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