If sample mean is unbiased the expected value of sample mean should be equal to the actual mean of the distribution.
It is given that the distribution follows Normal distribution
with mean
Let us calculate the expected value of the weighted sample mean
and check if it is equal to
.............. (1)
It is given that
Therefore from (1)
Therefore, sample mean given in the question is unbiased.
(3) Unbiased Estimator Y is distributed N( 14, a2 ). Weighted sample mean is defined in the following: N Σ4r Y = -...
4. Prove that mean of all sample means is an unbiased estimator of population mean by using a random sampling process (n = 2) from a population size of 4 as defined in the following example: N=4 a=1 b=2 c=3 d=4
Find a consistent estimator of µ 2 , where E(Y ) = µ is the
population mean and Y¯ n is the sample mean. 2 If E(Y 2 ) = µ 0 2
then prove that 1 n Pn i=1 Y 2 i is an consistent estimator of µ 0
2 3 We define σ 2 = µ 0 2 − µ 2 . Show that S 2 n = 1 n Pn i=1 Y 2
i − Y¯ 2...
1)True or False. The sample median is an unbiased estimator. 2)True or False. The sample mean is an unbiased estimator.
Show that the mean of a random sample of size n is a minimum variance unbiased estimator of the parameter (lambda) of a Poisson population.
Show that median is an unbiased estimator of population mean when population is normally distributed .
To show an estimator can be consistent without being unbiased or even asymptotically unbiased, consider the following estimation procedure: To estimate the mean of a population with the finite variance σ 2 , we first take a random sample of size n . Then, we randomly draw one of n slips of paper numbered from 1 through n , and • if the number we draw is 2, 3, ··· , or n , we use as our estimator the...
If the population is normally distributed, both the sample mean and the median are unbiased estimators of the population mean O А True o B False O с Not sure Unanswered . 1 attempt left Submit Question 4 Homework. Unanswered A sample statistic such that the mean of all its possible values equals the population parameter the statistic seeks to estimate is an unbiased estimator. А True B False The bias of an estimator Bhat is equal to E(hat) -...
To show an estimator can be consistent without being unbiased or even asymptotically unbiased, consider the following estimation procedure: To estimate the mean of a population with the nite variance 2, we rst take a random sample of size n. Then, we randomly draw one of n slips of paper numbered from 1 through n, and if the number we draw is 2, 3, , or n, we use as our estimator the mean of the random sample; otherwise, we...
10.41] To show an estimator can be consistent without being unbiased or even asymptotically unbiased, consider the following estimation procedure: To estimate the mean of a population with the finite variance σ2, we first take a random sample of size n. Then, we randomly draw one of n slips of paper numbered from 1 through n, and if the number we draw is 2, 3, ..., orn, we use as our estimator the mean of the random sample; otherwise, we...
To show that an estimator can be consistent without being unbiased or even asymptotically unbiased, consider the following estimation procedure: To estimate the mean of a population with randomly draw o slips of paper numbered from 1 through n, and if the number we draw is 2, 3,.. .or n, we use as our estimator the mean of the random sample; otherwise, we use the estimate n2. Show that this estimation procedure is (a) consistent; (b) neither unbiased nor asymptotically...