Answer all please it's one question

8.1.13 Do different generations view marriage differently? A 2010 survey of a random sample of adult Americans conducted by the Pew Research Center asked the following question of each participant: "Is marriage becoming obsolete?" The results are shown in the table below and can also be found in the file MarriageViews. Generation Millennial Gen X Boomers (ages 18-29) (ages 30-45) (ages 46-65) Age 65+ Total Marriage Yes 236 313 401 68 1,018 obsolete? No 300 416 745 143 1.604 Total 536 729 1,146 211 2.622 The survey response Individual people in the survey The generations Number of marriages Individual people in the survey : Identify the variables recorded. For each variable, identify the role (explanatory or response) and the type (categorical or The explanatory variable is The explanatory variable is opinion e respo Friage, which is categorical. ion, which is quantitative. The explanatory variable is opin e is generation, which is categorical. The explanatory variable is genera opinion of marriage, which is quantitative. Describe the parameter(s) of interest and assign appropriate symbol(s) to the parameter(s). For each response, let it denote the conditional probability that a person answers "Yes, marriage is obsolete." For each response, let it denote the condition swers "Yes, marriage is obsolete." For each generation, let it denote the conditional probability that a person answers "No, marriage is not obsolete." For each generation, let it denote the conditional probability that a person answers "Yes, marriage is obsolete." For each response, let it denote the conditional probability that a person answers "No, marriage is not obsolete." Select the appropriate null and alternative hypotheses in the context of the study. Null: All four conditional probabilities are equal. Alt: At least one conditional probability differs. Null: All four conditional probabilities are equal. Alt: All four conditional probabilities are not equal. Null: At least two conditional probabilities differ. Alt: All four conditional probabilities are equal. Null: All four conditional probabilities are not equal. Alt: All four conditional probabilities are equal. State in symbols the appropriate null and alternative hypotheses in the context of the study. V Ho: At least one of TIM, TX, TB, or It(65+) is not the same, Ha: TIM = TIX = TB = It(65+) Ho: TIM = TIX # TIB # 1 (65+), Ha: TIM = TX = TB = (65+) Ho: TIM = TIX = TIB = It(65+), Ha: At least one of TIM, MIX, TB, or Tt(65+) is different from the others Ho: TIM = TIX = TIB = n(65+), Ha: HIM 2 RX = TB # Tt (65+) What is the name and the observed value of the statistic (from the study)? z-statistic = 0.001 z-statistic = 0.072 MAD = 0.072 MAD = 0.001 Another study on yawning was conducted where the folks at MythBusters, a popular television program on the Discovery Channel, investigated this issue by using a hidden camera. Fifty people attending a local flea market were recruited to participate. Subjects were ushered, one at a time, into one of three rooms by co-host Kari. She yawned (planting a yawn "seed") as she ushered subjects into two of the rooms, and for the other room she did not yawn. The researchers decided in advance. with a random mechanism, which subjects went to which room. As time passed, the researchers watched to see which subjects yawned. Select all the ways in which the marriage study is different from the yawning study. For the yawning study, subjects were randomly assigned to a group; for this study they were not. For the yawning study, subjects were randomly chosen by random sampling: for this study they were not. For the yawning study, subjects were not randomly assigned to a group; for this study they were. For the yawning study, subjects were not chosen by random sampling; for this study they were