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Suppose a group of researchers attempt to confirm the result of "Distractions in Everyday Driving," covered in News Story 5 "Driving while distracted is common, researchers say," by recreating the study. From their research, the group of researchers were able to produce the following table, which shows output for testing for a relationship between sex and "External distraction." Expected counts are not displayed Yes NO Total Male 29 33 Female 31 23 66 Chi-5q 0.033 0.233 0. 033 0.233 0.723 OF = 1, -Value 0.292 LA USE SALT (=) Fill in the expected counts. Yes No Total Male 33 Female 33 Total 60 5 66 (b) State the null hypothesis being tested. There is no relationship between sex and driving for the population of drivers similar to those in this study. There is a relationship between sex and external distractions for the population of drivers similar to those in this study. There is no relationship between driving and external distractions for the population of drivers similar to those in this study. There is a relationship between driving and external distractions for the population of drivers similar to those in this study. There is no relationship between sex and external distractions for the population of drivers similar to those in this study. There is a relationship between sex and driving for the population of drivers similar to those in this study. State the alternative hypothesis being tested. O There is no relationship between Idriving for the population of drivers similar to those in this study. There is a relationship between sex and external distractions for the population of drivers similar to those in this study. There is no relationship between driving and external distractions for the population of drivers similar to those in this study. O There is a relationship between driving and external distractions for the population of drivers similar to those in this study. O There is no relationship between sex and external distractions for the population of drivers similar to those in this study. O There is a relationship between sex and driving for the population of drivers similar to those in this study. (c) Give the value of the chi-square statistic and the p-value, and make a conclusion. (Round your answers to three decimal places.) chi-square statistic p-value Using a level of 0.05, state whether or not the null hypothesis should be rejected. Since the chi-square statistic [ does not exceed v w the value of [3.84 v . we do not reject w / the null hypothesis. (d) Suppose in addition to the information in the table, the following footnote was given. "p > 0.05 and ** p > 0.01, based on chi-square test of association with sex." The footnote applies to "Grooming**"and "External distraction*. Explain how the result in part (c) confirms the footnote given for the table in connection with "External distraction." (Round your answer to three decimal places.) The footnote says the p-value is [greater than 0.05 v . The actual p-value given is , which is [confirms / the foot