a) False. We need X1,X2,....Xn to be independent
b) False . Decreasing the level of alpha reduces the probability of rejecting the null hypothesis
c) False. Since the p-value of 0.02 > 0.01 the significance level, we fail to reject the null hypothesis. (Null hypothesis is only rejected when the p-value of the test< significance level considered)
d) True (from the central limit theorem)
1. (+1 each) State whether each of the following is always true (T) or not always true (a) If X...
If a null hypothesis is rejected at a significance level of 1%, then we should say that it was rejected at 1%. Reporting that the null was also rejected at the 5% level of significance is unnecessary and unwise. True False The p-value equals alpha, the level of significance of the hypothesis test. True False THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Let X1, X2, X3, and X4 be a random sample of observations from a population with...
1. Let Xi, X2,.., Xn be a random sample drawn from some population with mean μ--2λ and variance σ2-4, where λ is a parameter. Define 2n We use V, to estimate λ. (a) Show that is an unbiased estimator for λ. (b) Let ơin be the variance of V,, . Show that lin ơi,- 1. Let Xi, X2,.., Xn be a random sample drawn from some population with mean μ--2λ and variance σ2-4, where λ is a parameter. Define 2n...
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...
Which of the following statements is true? The t-distribution with 1 degree of freedom is equivalent to the standard normal distribution. When division by a factor of n-1 is used, the sample variance s2 is an unbiased estimator of the population variance σ2. If a hypothesis test is conducted at the 5% significance level, then a p-value of 0.087 would lead the researcher to reject H0. A 99% z-based confidence interval of the population mean μ based on a sample...
State whether each of the following are either always true (T) or not always true (F) (a) If you have two estimators for a parameter θ, with B(A) > B(92) and V(h) > V(92), then θ2 is consistent and θι is not consistent. (b) If Xi ~ Bernoulli(p) for i-: 1, , 1000, then Y-Σ21X, is normally distributed. (c) If you fail to reject a two-sided hypothesis test at the level a, then you wil also fail to reject a...
x, and S1 are the sample mean and sample variance from a population with mean μ| and variance ơf. Similarly, X2 and S1 are the sample mean and sample variance from a second population with mean μ and variance σ2. Assume that these two populations are independent, and the sample sizes from each population are n,and n2, respectively. (a) Show that X1-X2 is an unbiased estimator of μ1-μ2. (b) Find the standard error of X, -X. How could you estimate...
4(25 points) Let X be a random variable with mean μ = E(X) and σ2 V(X). Let X = n Σ_1Xī be X2 + Xs) be the average of the the sample mean from a random sample (X X. Let X (X first three observations. (a) Prove that X is an unbiased estimator for μ. Prove that X is also an unbiased estimator for μ. (b) Explain that X is a consistent estimator for μ. Explain why X is not...
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)...
State whether the following is always true (T) or not always true (F) a)V (4X − 2Y ) = 16V (X) + 4V (Y ) + 8Cov(X, Y ) b)If X1, X2, ..., X100 are independent, normally distributed random variables, then the average X¯ = 1 100Σ 100 i=1Xi of these random variables is itself a random variable following a normal distribution. c) If X and Y are random variables with a correlation of ρxy, Corr(2X, Y ) = 2ρxy
1. Suppose a population of N individuals has true (unknown) numerical measurements yi, y2, …YN (repeats allowed). The unknown population mean 1S yj One way to estimate the unknown population mean μ is to decide on a number nS N, then successively randomly select one individual at a time, observe and record the quantity of interest for that individual, put that individual back in, and repeat the process n times. Then form the mean of the recorded n observations. Prove...