Chi-Square Analysis The National Sleep Foundation used a survey to…
Question Answered step-by-step Chi-Square Analysis The National Sleep Foundation used a survey to… Chi-Square Analysis The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age. The following shows the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older. Table 1 for the data (attached picture) An HR representative claims that the absences have an equal frequency per day on a regular week. At the 5% level of significance, test this claim by performing the appropriate Chi-square test.Compute for the value of the test statistic. Round off your final answer to the nearest thousandths. ________ What are the appropriate hypotheses?A: The number of employee absences is independent on the day of the week.B: The number of employee absences is related on the day of the week.C: The number of employee absences are equal per day on a regular week.D: The number of employee absences are not equal per day on a regular week.E: The number of employee absences is independent on the day of the week.F: The number of employee absences and the day of the week is interdependent.G: The number of employee absences are equal per day on a regular week.H: The number of employee absences follows the Chi square distribution. What is the critical value in the decision rule? ___ What is the appropriate conclusion? A.The representative’s claim is wrong because there is sufficient evidence to claim that the number of employee absences are not equal per day on a regular week at the 5% level of significance.B.The representative’s claim is wrong because there is insufficient evidence to claim that the number of employee absences are not equal per day on a regular week at the 5% level of significance.C.The representative’s claim is correct because there is sufficient evidence to claim that the number of employee absences are not equal per day on a regular week at the 5% level of significance.D.The representative’s claim is correct because there is insufficient evidence to claim that the number of employee absences are not equal per day on a regular week at the 5% level of significance. Math Statistics and Probability STATS 900 Share QuestionEmailCopy link Comments (0)
