Question

1. The following are samples of a normal distribution with mean θ and variance σ, both...

1. The following are samples of a normal distribution with mean θ and variance σ, both are unknown:

54.1, 53.3, 55.9, 56.0, 55.7.

Find an unbiased estimate for θ.

2. With the data given in Problem 1, with θ unknown, find an unbiased estimate for σ

3. With the data given in Problem 1, with σ

2 unknown, find a 95% confidende interval for θ

Homework Answers

Answer #1

Note-if there is any understanding problem regarding this please feel free to ask via comment box..thank you

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
Let ​Y​ be a normal random variable with mean ​μ​ and variance ​σ​2 . Assume that...
Let ​Y​ be a normal random variable with mean ​μ​ and variance ​σ​2 . Assume that ​μ​ is known but ​σ​2 is unknown. ​​Show that ((​Y​-​μ​)/​σ​)2​ ​is a pivotal quantity. Use this pivotal quantity to derive a 1-​α confidence interval for ​σ​2. (The answer should be left in terms of critical values for the appropriate distribution.)
a.) Given a normal distribution with σ = 0.380. Find the required sample size for a...
a.) Given a normal distribution with σ = 0.380. Find the required sample size for a 95% confidence level (estimating the mean), given a margin-of-error of 6%. b.) Given the sample results taken from a normal population distribution: mean = 4.65, σ = 0.32, and n = 17. For a 99% confidence interval, find the margin-of-error for the population mean. (use 2 decimal places) c.) Given the sample results taken from a normal population distribution: mean = 1.25, σ =...
Let X1,...,Xn be a random sample from a normal distribution with mean zero and variance σ^2....
Let X1,...,Xn be a random sample from a normal distribution with mean zero and variance σ^2. Construct a 95% lower confidence limit for σ^2. Your anwser may be left in terms of quantiles of some particular distribution.
Given the sample results taken from a normal population distribution: mean = 4.65, σ = 0.32,...
Given the sample results taken from a normal population distribution: mean = 4.65, σ = 0.32, and n = 13. Find the margin-of-error and the 95% confidence interval for the population mean. (use 2 decimal places)
Given estimator ?=cΣ(??−?̅)2 for ?2, where ?2, represents variance of a normal distribution whose mean and...
Given estimator ?=cΣ(??−?̅)2 for ?2, where ?2, represents variance of a normal distribution whose mean and variance are both unknown. a. Find c that gives the minimum-MSE estimator ?∗for ?2. b. Is ?∗ MSE-consistent? Why or why not?
Let X1,...,Xn be a random sample from a normal distribution where the variance is known and...
Let X1,...,Xn be a random sample from a normal distribution where the variance is known and the mean is unknown.   Find the minimum variance unbiased estimator of the mean. Justify all your steps.
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...
A sample from a Normal distribution with an unknown mean µ and known variance σ =...
A sample from a Normal distribution with an unknown mean µ and known variance σ = 45 was taken with n = 9 samples giving sample mean of ¯ y = 3.6. (a) Construct a Hypothesis test with significance level α = 0.05 to test whether the mean is equal to 0 or it is greater than 0. What can you conclude based on the outcome of the sample? (b) Calculate the power of this test if the true value...
Note given a Normal(θ, 1) distribution: 28, 33, 22, 35, 31 --> we want to estimate...
Note given a Normal(θ, 1) distribution: 28, 33, 22, 35, 31 --> we want to estimate θ by minimizing residuals. Using the L2 norm squared; 1. What is the function sp(θ) we would like to minimize? 2. Graph sp(θ). 3. Using the Bisection Method find the Minimum Residual Estimator for θ correct,  2 dec. places. 4. If using Newton’s Method for this optimization problem, what is the refinement increment h(t)?
If samples are from a normal distribution with \mu μ = 100 and \sigma σ =...
If samples are from a normal distribution with \mu μ = 100 and \sigma σ = 10, all the following statements are true except about 68% of the data are within 90 and 110. almost all the data are within 70 and 130. about 95% of the data are within 80 and 120. about half the data exceed 60.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT