Question

2. We said in class that the sample mean, is a good estimator of the mean,...

2. We said in class that the sample mean, is a good estimator of the mean, μ. What two desirable properties did we say the sample mean has that makes it a good estimator? Explain.

Homework Answers

Answer #1

1) it is unbiased estimator

E() =

2) It is consistent estimator

Loosely speaking, an estimator Tn of parameter θ is said to be consistent, if it converges in probability to the true value of the parameter:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Q17 What is meant when a sample statistic is said to be an unbiased estimator? [2...
Q17 What is meant when a sample statistic is said to be an unbiased estimator? [2 Marks] DO NOT WRITE THE ANSWER - USE WORD FORMAT. NO PLAGIARISM PLEASE
We have shown that the sample mean estimator is both unbiased and consistent for the population...
We have shown that the sample mean estimator is both unbiased and consistent for the population mean. a) Give an example of an estimator for the population mean that is unbiased but not consistent b) Give an example of an estimator for population mean that is consistent but not unbiased.
We have been talking a lot about specific sample statistics such as (sample) mean or (sample)...
We have been talking a lot about specific sample statistics such as (sample) mean or (sample) variance. In principle, any quantity that characterizes (is derived from) a sample is a legitimate sample statistics (and since it depends on the sample, or in other word on a particular realization/sample drawing, this quantity is going to be a random variable itself). A sum of squares of the values in the sample, or a product of their logarithms, or simply the maximum value...
Consider the following estimator of the sample mean, µx:                         Z = x1/3 + 2x2­/5 +...
Consider the following estimator of the sample mean, µx:                         Z = x1/3 + 2x2­/5 + x3/6. Is Z unbiased? Compute the following: Bias(Z), Var(Z), and MSE(Z).             Did you need to make any assumptions? Assume µx = σx2 = 1 and n = 3. Which estimator, Z or x, has the lower Mean Squared Error?
In class we said that each doubling of the atmospheric CO2 concentration will cause the mean...
In class we said that each doubling of the atmospheric CO2 concentration will cause the mean global temperature to increase by 3.0 ºC. Climate models in fact predict each doubling of the atmospheric CO2 concentration will increase between 1.5ºC-4.5ºC, due largely to uncertainties about how clouds will respond. What is the range of mean temperature increase for each doubling of the atmospheric CO2 concentration? Express your answer as a temperature range in degrees Celsius.
In class we said that each doubling of the atmospheric CO2 concentration will cause the mean...
In class we said that each doubling of the atmospheric CO2 concentration will cause the mean global temperature to increase by 3.0 ºC. Climate models in fact predict each doubling of the atmospheric CO2 concentration will increase between 1.5ºC-4.5ºC, due largely to uncertainties about how clouds will respond. What is the range of mean temperature increase for each doubling of the atmospheric CO2 concentration? Express your answer as a temperature range in degrees Celsius.
a. If ? ̅1 is the mean of a random sample of size n from a...
a. If ? ̅1 is the mean of a random sample of size n from a normal population with mean ? and variance ?1 2 and ? ̅2 is the mean of a random sample of size n from a normal population with mean ? and variance ?2 2, and the two samples are independent, show that ?? ̅1 + (1 − ?)? ̅2 where 0 ≤ ? ≤ 1 is an unbiased estimator of ?. b. Find the value...
a. What is the standard error of a sampling distribution? (out of the following) the mean,...
a. What is the standard error of a sampling distribution? (out of the following) the mean, the probability, the bias, the standard deviation, or the variance b. What is the standard deviation of a sampling distribution called? (out of the following) the spread, the variance, the standard error, the mean, the standard variance c. List two unbiased estimators and their corresponding parameters. (Select all that apply out of the following.) μ is an unbiased estimator for x-bar, p is an...
Explain the relationship between the population mean μ, the sample mean X−, and a value of...
Explain the relationship between the population mean μ, the sample mean X−, and a value of the sample mean x−. Which is the population parameter, which is a statistic, which is a point estimate, and which is an estimator?
1.The sample mean is an unbiased estimator for the population mean. This means: The sample mean...
1.The sample mean is an unbiased estimator for the population mean. This means: The sample mean always equals the population mean. The average sample mean, over all possible samples, equals the population mean. The sample mean will only vary a little from the population mean. The sample mean has a normal distribution. 2.Which of the following statements is CORRECTabout the sampling distribution of the sample mean: The standard error of the sample mean will decrease as the sample size increases....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT