Suppose you have a random sample {X1, X2, X3} of size n = 3. Consider the following three possible estimators for the p...
7) Consider two estimators for population mean, both based off of a sample of size 3: •î = X2+2X2 + X3 • î2 = X1+X2+X Find the bias associated with each estimator. Which would you prefer to work with, and why?
7-27. Let X1, X2,..., X, be a random sample of size n from a population with mean u and variance o?. (a) Show that X² is a biased estimator for u?. (b) Find the amount of bias in this estimator. c) What happens to the bias as the sample size n increases?
Please give detailed steps. Thank you. 5. Let {X1, X2,..., Xn) denote a random sample of size N from a population d escribed by a random variable X. Let's denote the population mean of X by E(X) - u and its variance by Consider the following four estimators of the population mean μ : 3 (this is an example of an average using only part of the sample the last 3 observations) (this is an example of a weighted average)...
Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. The observations are independent because they were randomly drawn. Consider the following two point estimators of the population mean μ: 1 = 0.10 X1 + 0.40 X2 + 0.40 X3 + 0.10 X4 and 2 = 0.20 X1 + 0.30 X2 + 0.30 X3 + 0.20 X4 Which of the following statements is true? HINT: Use the definition of...
X1, X2, X3, ...Xn are members of a random sample size n drawn from a for the population population with unknown mean. Consider the estimator Ê = = n-1 mean. Ê is a consistent estimator of the population mean.
please answer the questions easily Suppose X1, X2, X3 is a random sample from a normal population with mean μ and variance (a) I,'ind i.he variallex, of Y , x..:.: Xy/X.t as an ( tinai." r of μ (b) Find the variance of Z-A+x2+x3 as an estimator of μ. (c) Which estimator is more efficient (i.e. has the smallest variance)? Consider a random sample of size n from a normal population with known mean μ and unknown variance σ2. Let...
Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. Consider the following estimator of μ: 1 = 0.15 X1 + 0.35 X2 + 0.20 X3 + 0.30 X4. Using the linear combination of random variables rule and the fact that X1, ..., X4are independently drawn from the population, calculate the variance of 1? A. 0.55 σ2 B. 0.275 σ2 C. 0.125 σ2 D. 0.20 σ2
For the same topic 5) Consider an i.i.d. population {X1, X2,...} and take a sample of size 4. Show that if we take ſ = X 4 to be a point estimator for population mean, that this is an unbiased estimator. 6) Consider another i.i.d. population, {X1, X2,...}, and take o2 = X to be an estimator for population variance. Find the bias in this estimator Is it unbiased? If not, does it give values that are too high or...
7.Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. Consider the following estimator of μ:⊝1 = 0.15 X1 + 0.35 X2 + 0.20 X3 + 0.30 X4. Is this a biased estimator for the mean? What is the variance of the estimator? Can you find a more efficient estimator?
6) (6 pts) Let X, X, and X; be a random sample (n = 3) from a population with mean u and standard deviation o. Consider two estimators of u: T1 = (X1 + X2 + X3)/3 and T, = 0.10 X2 +0.25 X. + 0.65 X. Recall that because 71 is the sample average, E(71) - u and Var(T) = Oʻ/3. (a) (3 pts) Find the expected value and variance of T2. (b) (3 pts) Would T, or T2...