i) Find the conditional distribution of the likelihood function given the function of the statistic, Ô = ₁X₁. Hint: Apply ƒ(L(0)|g(Ô,0)). ii) Based on i) above, is ô: = Σ₁ X₁ a sufficient statistic? Justify your answer. iii) Show whether or not >, is a consistent estimator of the parameter 1/2.
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- Is it possible to have more than one unbiased estimator for an unknown parameter? Or is not possible? How so?part iii (i already asked part i and part ii)55. Given this joint pmf, (a) Find the conditional distribution of X given Y = 0, fxY=0(x) = P(X=x|Y = 0). (b) Are X and Y independent? Justify your answer.
- A previous study showed to determine whether a sales tax on soda will reduce consumption of soda in the US below the current per-capita level of about 50 gallons of soda per year. Hypotheses Test is Ho: m(mue) =50 vs. Ha: m<50 where m (mue) represents the average annual consumption of soda in communities where the sales tax is implemented. (b) Now supposed sample results give a p-value of 0.41. Interpret this p-value in terms of random chance and in the context of taxes and soda consumption.Please do question 2e and 2f with full handwritten working outI need null hypothesis, alternative hypothsis, then X2, p-value
- Just solve (d,e,f,g)If the roots of the quadratic equation x – ax + b = 0 are real and b is positive but otherwise unknown, what are the expected values of the roots of the equation. Assume that b has a uniform distribution in the permissible range. -7. Let X1,..., X, ~ Uniform(0, 0) be iid, where 0 is the unknown parameter of interest. (a) Let e e (0,0) be a fixed number. Find the probability that max(X1,..., X„) < 0 - E. (b) Suppose n is large. Explain why max(X1,..., X„) is a reasonable estimator based on the result of (a). You will reccive full credit for any plausible cxplanation.
- The random variable x has a normal distribution with mean 50 and variance 9. Find the value of x, call it x0, such that: a) P(x ≤ xo) = 0.8413 b) P(x > xo) = 0.025 c) P(x > xo) = 0.95 d) P(41 ≤ x ≤ xo) = 0.86301. In the past, a chemical company produced 880 pounds of a certain type of plastic per day. Now, using a newly developed and less expensive process, the mean daily yield of plastic for the first 50 days of production is 871 pounds; the standard deviation is 21 pounds. Do the data provide sufficient evidence to indicate that the mean daily yield for the new process is less than that of the old procedure? (Use α=0.05) (d) Conclusion of the test above is Reject the null hypothesis and the mean daily yield for the new process is less than that of the old procedure. Reject the null hypothesis and the mean daily yield for the new process is not less than that of the old procedure. Do not reject the null hypothesis and the mean daily yield for the new process is less than that of the old procedure. Do not reject the null hypothesis and the mean daily yield for the new process is not less than that of the old procedure.5