Homework Answers
Q1. In a population with N= 6 the values of yi are 8, 3, 1, 11,...
Q1. In a population with N= 6 the values of yi are 8, 3, 1, 11, 4, and 7. Draw all possible ordered samples of size 2 from this population without replacement (i) Find the population mean (ii) Find P(s) for each sample point. (iii) Find T, for each unit. (iv)Find the sampling distribution of v (v) Show that is an unbiased estimator of F (vi) Show that V(F) (vii) Show that s 2 is an unbiased estimator of σ2
In a population with N-6 the values of y are 8, 3, 1, 11, 4, and...
In a population with N-6 the values of y are 8, 3, 1, 11, 4, and 7. Draw all possible unordered sam ples of size 4 from this population without replacement. (i) Find P(s) for each sample point (ii) Find T, for each unit. (ii) Find the sampling distribution of v. (iv) Is y an unbiased estimator of ? Justify your answer. ()Is V(F)- (1- Justify your answer. 72 () Is r an unbiased estimator of s? Justify your answer.
4. (10 marks) Classify each statement by circling TRUE or FALSE. i) A scatterplot is not...
4. (10 marks) Classify each statement by circling TRUE or FALSE. i) A scatterplot is not an attribute. TRUE FALSE ii) An unbiased estimator is always preferable to a biased estimator. TRUE FALSE iii) The observed significance level measures evidence against the null hypothesis. TRUE FALSE iv) The Horvitz-Thompson estimator is unbiased given a probability sampling design. TRUE FALSE v) When sampling with replacement the sample average is a Horvitz-Thompson estimate. TRUE FALSE vi) We can quantify the sampling error...
For purposes of studying sampling distribution, we consider a small population of N = 4 units,...
For purposes of studying sampling distribution, we consider a small population of N = 4 units, labeled 1, 2, 3, 4, with respective y-values yı = 3, y2 = 1, y3 = 0, y4 = 5. (c) Plan 2: Consider a simple random sample with replacement (SRSWR) design with sample size n=2. (i) Find the number of possible SRSs of size n = 2. List every possible sample. For each sample, what is the probability that it is the one...
3. You have two independent random samples: XiXX from a population with mean In and variance σ2 a...
3. You have two independent random samples: XiXX from a population with mean In and variance σ2 and Y, Y2, , , , , Y,n from a population with mean μ2 and variance σ2. Note that the two populations share a common variance. The two sample variances are Si for the first sample and Si for the second. We know that each of these is an unbiased estimator of the common population variance σ2, we also know that both of...
Suppose population l has mean ,11 with variance σ2 and population 2 has mean Ha with...
Suppose population l has mean ,11 with variance σ2 and population 2 has mean Ha with the same variance σ2. Let s' and s denote the sample variances from two samples with size n and n2 from the corresponding populations, respectively. Show that the pooled estimator (m-1)sit (n2-1)d ni t n22 pooled is an unbiased estimator of σ2
I. Suppose population 1 has mean μ1 with variance σ2 and population 2 has mean μ2...
I. Suppose population 1 has mean μ1 with variance σ2 and population 2 has mean μ2 denote the sample variances from two samples with the same variance σ2 Let s and s with size n and n2 from the corresponding populations, respectively. Show that the pooled estimator pooled n1 2 - 2 is an unbiased estimator of σ2
Suppose population 1 has mean with variance σ2 and population 2 has mean μ2 with the...
Suppose population 1 has mean with variance σ2 and population 2 has mean μ2 with the same variance σ. Let sỈ and s denote the sample variances from two samples with size ni and n2 from the corresponding populations, respectively. Show that the pooled estimator pooled is an unbiased estimator of σ2
I. Suppose population 1 has mean μί with variance σ2 and population 2 has mean μ2...
I. Suppose population 1 has mean μί with variance σ2 and population 2 has mean μ2 with the same variance σ2. Let s and s denote the sample variances from two samples with size ni and n2 from the corresponding populations, respectively. Show that the pooled estimator 1i+(2-1)si pooled ni + n2 -2 is an unbiased estimator of σ2.
Problem 2. Suppose the population has six units: U={1,2,3,4,5,6} and samples of size 3 could be...
Problem 2. Suppose the population has six units: U={1,2,3,4,5,6} and samples of size 3 could be chosen from this population. For purposes of studying sampling distribution, assume that all population values are known y1 92 , y2 = 108, y3 = 154, y4 = 133, y5 = 190, y6 = 175 We are interested in yu, the population mean. One sampling plan is proposed. Sample, S (1,3,5 {1,4,6 {2,3,6 (2,4,5 P(S) Sample Number 1 0.25 2 0.2 3 0.2 0.35...
Q1. In a population with N= 6 the values of yi are 8, 3, 1, 11, 4, and 7. Draw all possible ordered samples of size 2 from this population without replacement (i) Find the population mean (ii) Find P(s) for each sample point. (iii) Find T, for each unit. (iv)Find the sampling distribution of v (v) Show that is an unbiased estimator of F (vi) Show that V(F) (vii) Show that s 2 is an unbiased estimator of σ2
In a population with N-6 the values of y are 8, 3, 1, 11, 4, and 7. Draw all possible unordered sam ples of size 4 from this population without replacement. (i) Find P(s) for each sample point (ii) Find T, for each unit. (ii) Find the sampling distribution of v. (iv) Is y an unbiased estimator of ? Justify your answer. ()Is V(F)- (1- Justify your answer. 72 () Is r an unbiased estimator of s? Justify your answer.
4. (10 marks) Classify each statement by circling TRUE or FALSE. i) A scatterplot is not an attribute. TRUE FALSE ii) An unbiased estimator is always preferable to a biased estimator. TRUE FALSE iii) The observed significance level measures evidence against the null hypothesis. TRUE FALSE iv) The Horvitz-Thompson estimator is unbiased given a probability sampling design. TRUE FALSE v) When sampling with replacement the sample average is a Horvitz-Thompson estimate. TRUE FALSE vi) We can quantify the sampling error...
For purposes of studying sampling distribution, we consider a small population of N = 4 units, labeled 1, 2, 3, 4, with respective y-values yı = 3, y2 = 1, y3 = 0, y4 = 5. (c) Plan 2: Consider a simple random sample with replacement (SRSWR) design with sample size n=2. (i) Find the number of possible SRSs of size n = 2. List every possible sample. For each sample, what is the probability that it is the one...
3. You have two independent random samples: XiXX from a population with mean In and variance σ2 and Y, Y2, , , , , Y,n from a population with mean μ2 and variance σ2. Note that the two populations share a common variance. The two sample variances are Si for the first sample and Si for the second. We know that each of these is an unbiased estimator of the common population variance σ2, we also know that both of...
Suppose population l has mean ,11 with variance σ2 and population 2 has mean Ha with the same variance σ2. Let s' and s denote the sample variances from two samples with size n and n2 from the corresponding populations, respectively. Show that the pooled estimator (m-1)sit (n2-1)d ni t n22 pooled is an unbiased estimator of σ2
I. Suppose population 1 has mean μ1 with variance σ2 and population 2 has mean μ2 denote the sample variances from two samples with the same variance σ2 Let s and s with size n and n2 from the corresponding populations, respectively. Show that the pooled estimator pooled n1 2 - 2 is an unbiased estimator of σ2
Suppose population 1 has mean with variance σ2 and population 2 has mean μ2 with the same variance σ. Let sỈ and s denote the sample variances from two samples with size ni and n2 from the corresponding populations, respectively. Show that the pooled estimator pooled is an unbiased estimator of σ2
I. Suppose population 1 has mean μί with variance σ2 and population 2 has mean μ2 with the same variance σ2. Let s and s denote the sample variances from two samples with size ni and n2 from the corresponding populations, respectively. Show that the pooled estimator 1i+(2-1)si pooled ni + n2 -2 is an unbiased estimator of σ2.
Problem 2. Suppose the population has six units: U={1,2,3,4,5,6} and samples of size 3 could be chosen from this population. For purposes of studying sampling distribution, assume that all population values are known y1 92 , y2 = 108, y3 = 154, y4 = 133, y5 = 190, y6 = 175 We are interested in yu, the population mean. One sampling plan is proposed. Sample, S (1,3,5 {1,4,6 {2,3,6 (2,4,5 P(S) Sample Number 1 0.25 2 0.2 3 0.2 0.35...
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