Discussion Questions: 1. Explain the procedure for testing a hypothesis using the P-value approach? What is the criterion for judging whether to reject the null hypothesis? 2. What does the level of significance represent in a test of hypothesis? Give an example. 3. Explain the difference between "accepting" and "not rejecting" a null hypothesis. 4. Compare and contrast type I error and type II error. Give an example. 5. A package label includes a claim that the mean weight of the M&Ms is 0.8535 g, and another package label includes the claim that the mean amount of aspirin in Bayer tablets is 325 mg. Which has more serious implications: rejection of the M&M claim or rejection of the aspirin claim? Is it wise to use the same significance level for hypothesis tests of both claims