The water diet requires you to drink two cups of water every half-hour from when you get up until you go to bed, but otherwise allows you to eat whatever you like. Four adult volunteers agree to test the diet. They are weighed prior to beginning the diet and after six weeks on the diet. The weights (in pounds) are Person 1 2 3 4 Weight before the 180 125 240 150 diet Weight after six 170 130 215 152 weeks For the population of all adults, assume that the weight loss after six weeks on the diet (weight before beginning the diet minus weight after six weeks on the diet) is Normally distributed with mean µ. You want to test Ho : µ = 0 vs H. : µ > 0 Based on these data we conclude O we would reject HO at significance level 0.01. O we would reject HO at significance level 0.10 but not at 0.05. O we would reject HO at significance level 0.05 but not at 0.01. O we would not reject HO at significance level 0.10.

Keep getting it wrong.

Question Help In a random sample of n = 200 patients, the proportion cured by a new drug was p = 120/200 = 0.6. We would like to determine with 90% confidence whether this provides sufficient evidence that, in the long run, the cure rate of the new drug would be higher than the 51% cure rate of the old drug. That is, we want to: Test Ho: p = 0.51 New drug is no better than the old drug. Versus Ha: p> 0.51 New drug is better than the old drug. Use all digits showing on your calculator in your intermediate calculations but show only the indicated number of digits to the right of the decimal point in your final answer. (a) Critical value from the z table: (b) Test statistic: (c)Conclusion: O A. Fail to reject Ho. Sample does not provide enough evidence to say that the new drug is better than the old. g O B. Reject Ho with 90% confidence and conclude that the new drug is better than the old. (d) p-value: Because the p-value is less than 0.01, the sample provides strong evidence that the…

[Statistics: Confidence Intervals and Hypothesis Testing] How do you solve this, will upvote if done quickly