This is a hypothetical question: You run an RCT and there is imperfect compliance. In general, if you compare the people who actually received treatment to people who didn’t, will you recover the causal effect of treatment? Explain. Is there a situation where if you make this comparison that you would recover the causal effect? Is so, what is it? If not, why not? Thank you very much!
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- You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indicate that nausea is a side effect of Tamiflu.a) If you going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses?H0: ____ _____H1: ____ _____b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)?You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indicate that nausea is a side effect of Tamiflu.a) If you going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses?H0H0: H1H1: b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? left-tailed right-tailed two-tailedYou are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indicate that nausea is a side effect of Tamiflu.If you are going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses?H0H0: H1H1: What type of hypothesis test should you conduct (left-, right-, or two-tailed)? left-tailed right-tailed two-tailed
- You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indicate that nausea is a side effect of Tamiflu.If you are going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses? H0: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ ≥ H1: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ ≥ What type of hypothesis test should you conduct (left-, right-, or two-tailed)? left-tailed right-tailed two-tailedA hypothetical study looks at the effect of drinking alcohol on health. Across all genders and age groups, people who do not drink tend to be healthier on average than people who do drink. However, people who drink regularly are on average healthier than those people who have recently stopped drinking. Is it reasonable to conclude that for the sake of health, we should not start drinking, but if we have already started drinking alcohol, it is healthier to continue and not to stop?We stated earlier that, if two variables are not associated, there is no point in looking for a causal relationship. Why is that so?
- For 25 years, Arthur Reynolds and Judy Temple tracked more than 1,400 children who participated in a publicly funded early childhood development program beginning at age 3. They found that children who participated in the program showed higher levels of educational attainment, socioeconomic status, and job skills, as well as lower rates of substance abuse, felony arrest, and incarceration, than those who did not receive school-based early education. One possible theory for the success of this program is that improving school readiness improved the children's success in school. The improved success in school in turn improved their readiness for adulthood, resulting in increased job skills and socioeconomic status as well as lower rates of substance abuse.For 25 years, Arthur Reynolds and Judy Temple tracked more than 1,400 children who participated in a publicly funded early childhood development program beginning at age 3. They found that children who participated in the program showed higher levels of educational attainment, socioeconomic status, and job skills, as well as lower rates of substance abuse, felony arrest, and incarceration, than those who did not receive school-based early education. One possible theory for the success of this program is that improving school readiness improved the children's success in school. The improved success in school in turn improved their readiness for adulthood, resulting in increased job skills and socioeconomic status as well as lower rates of substance abuse. What is the independent and dependent variable?What would be my research hypothesis for this scenario?
- If two variables are associated, does that mean they are necessarily causally related and What info is additionally needed?Answer true or false to the following statement and provide a reason for your answer: If there is a very strong positive correlation between two variables, a causal relationship exists between the two variables.Having a brother increases one's monthly earnings by $200." Why is this an example of an incomplete causal statement?