For the population of N = 5 units of Exercise 3 of Chapter 2
(a) Compute directly the variance var (y) of the sample mean and the variance var( m ) of the sample median.
(b) From each sample, compute the sample variance s 2 and the estimate var (y) of the variance of the sample mean. Show that the sample variance s 2 is unbiased for the √ finite-population variance σ 2 but that the sample standard deviation 2 √ s = s is not unbiased for the population standard deviation σ 2 .
(c)each sample, construct a standard 95% confidence interval for the population mean. What is the actual coverage probability for the method with this population and design?
below is ex3 of chapter2:
For the population of N = 5 units of Exercise 3 of Chapter 2 (a) Compute...
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
1. Consider the following population of N 5 sampling units with characteristic of interest y Sampling unit i1 2 3 4 5 6 24 18 12 30 yi (a) (2 marks). Compute the population mean μ and the population variance ? 4 marks). List all ten simple random samples of size n 3 and compute the sample mean ý and the sample variance s2 of each sample. (c) (3 marks). Verify numerically that tively. That is, verify that E(j) and...
List all possible samples of size n=3, with replacement, from the population (1,3,5). Calculate the mean of each sample. Construct a probability distribution of the sample means and compute the mean, variance, and standard deviation of the sample means and compare to the mean, variance, and standard deviation of the population.
4 6 5 5 5 3 7 2 2 8 7 A) Compute the population variance and the sample variance using the formula B) Compute the population standard deviation and the sample standard deviation using the formula Please show the work on paper not excel.
Consider a family of four people, aged 8, 10, 33, and 37 as a population a) Calculate the population variance and standard deviation for the ages. Show your work step by step b) Random samples of size two are drawn with replacement from this population and their ages are recorded Find the variance and standard deviation for each sample (using the formula that involves divisions by n-1) and fill in the 3rd and 4th columns of the table Find the...
CLUSTER SAMPLING WITH ESTIMATION Suppose a population of size N is divided into K- N/M groups of size M. We select a sample of size n -km the following way: » First we select k groups out of K groups by simple random sampling . We then select m units in each group selected on the first step by simple random sampling . The estimate of the population mean is the average Y of the sample. Let μί be the...
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...
For the population 0.5 2.1 4.4 1.0 compute each of the following. a. The population mean μ. b. The population variance σ^2. c. The population standard deviation σ. d. The z-score for every value in the population data set.
4 and 5 samples, the other in small samples. Which is which? Explain. (d) Suppose we know that the 5 values are from a symmetric distribution. Then the sample median is also unbiased and consistent for the population mean. The sample mean has lower variance. Would you prefer to use the sample 4. Suppose Yi, Y, are iid r ables with E(n)-μ, Var(K)-σ2 < oo. For large n, find the approximate 5. Suppose we observe Yi...Yn from a normal distribution...
Find the sample variance (s^2 ), sample standard deviation (s), population variance (σ^2 ) and population standard deviation (σ) for the data values {3, 5, 8}. Show your work!