# Question: Refer to the previous exercise about hangover symptoms Use the

Refer to the previous exercise about hangover symptoms. Use the Minitab output at the top of the page for this exercise.

a. Show how the expected count of 343.27 for the “Male, # 11” category was computed.

b. Give the value of the chi-square statistic and the p-value, and make a conclusion. State the conclusion in statistical terms and in the context of the situation. Use a level of 0.05. Exercises 34 to 37 are based on News Story 5 (summarized in the Appendix), “Driving while distracted is common, researchers say,” and the accompanying Original Source 5, “Distractions in Everyday Driving.”

a. Show how the expected count of 343.27 for the “Male, # 11” category was computed.

b. Give the value of the chi-square statistic and the p-value, and make a conclusion. State the conclusion in statistical terms and in the context of the situation. Use a level of 0.05. Exercises 34 to 37 are based on News Story 5 (summarized in the Appendix), “Driving while distracted is common, researchers say,” and the accompanying Original Source 5, “Distractions in Everyday Driving.”

## Answer to relevant Questions

Refer to Table 8 on page 37 of Original Source 5 on the companion website. Notice that there is a footnote to the table that reads: “p,. 05 and p,. 01, based on chi-square test of association with sex.” The footnote ...For each of the following possible conclusions, state whether it would follow when the p-value is greater than 0.05 (assuming a level of 0.05 is desired for the test). a. Reject the null hypothesis. b. Reject the alternative ...There is something wrong in each of the following statements. Explain what is wrong. a. The probability that a randomly selected driver will be wearing a seat belt is .75, whereas the probability that he or she will not be ...People are surprised to find that it is not all that uncommon for two people in a group of 20 to 30 people to have the same birthday. We will learn how to find that probability in a later chapter. For now, consider the ...We have seen many examples for which the term expected value seems to be a misnomer. Construct an example of a situation in which the term expected value would not seem to be a misnomer for what it represents.Post your question