The weights of goods 6g . tells you that the net weight is actually a Normal random variable with a mean of 5.95g and a standard deviation of 0.2 g. draw a random sample of 42. Suppose the number of goods drawn is doubled. How will the standard deviation of sample mean weight change? Suppose the number of goods drawn is doubled. How will the mean of the sample mean weight change? Consider the statement: The distribution of the mean weight of the sampled goods is Normal." A.It is a correct statement, and it is a result of the Central Limit Theorem. B.It is an incorrect statement. The distribution of the mean weight of the sample is not Normal. C.It is a correct statement, but it is not a result of the Central Limit Theorem.

The weights of goods 6g . tells you that the net weight is actually a Normal random variable with a mean of 5.95g and a standard deviation of 0.2 g. draw a random sample of 42. Suppose the number of goods drawn is doubled. How will the standard deviation of sample mean weight change? Suppose the number of goods drawn is doubled. How will the mean of the sample mean weight change? Consider the statement: The distribution of the mean weight of the sampled goods is Normal." A.It is a correct statement, and it is a result of the Central Limit Theorem. B.It is an incorrect statement. The distribution of the mean weight of the sample is not Normal. C.It is a correct statement, but it is not a result of the Central Limit Theorem.

Name: The weights of goods 6g . tells you that the net weight is actually a
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: The weights of goods 6g . tells you that the net weight is actually a Normal random variable with a meanof 5.95g and a standard deviation of 0.2 g. draw a random sample of 42.Suppose the number of goods drawn is doubled. How will the standard deviat

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Which of the following is NOT a requirement of testing a claim about the mean of the differences from dependent samples? Choose the correct answer below. O A. The degrees of freedom aren- 2. O B. The samples are simple random samples. O C. The sample data are dependent. O D. Either the number of pairs of sample data is larger than 30 or the pairs have differences that are from a population having a distribution that is approximately normal, or both.
4. The variance of a data set is 3410.56. Find the standard deviation for the data set. This ample of
A researcher wants to know if there is a difference between the mean amount of sleep that people get for various types of employment status. The table below shows data that was collected from a survey. Full Time Worker Part Time Worker Unemployed 6 6 7 5 6 7 8 9 9 7 6 8 8 8 8 8 8 8 6 6 8 8 7 6 9 Assume that all distributions are normal, the three population standard deviations are all the same, and the data was collected independently and randomly. Use a level of significance of α=0.01α=0.01.H0: μ1=μ2=μ3H0: μ1=μ2=μ3H1:H1: At least two of the means differ from each other. For this study, we should use Select an answer 2-PropZTest 2-PropZInt 1-PropZInt 2-SampTInt 1-PropZTest T-Test χ²-Test ANOVA χ²GOF-Test TInterval 2-SampTTest The test-statistic for this data = (Please show your answer to 3 decimal places.) The p-value for this sample = (Please show your answer to 4 decimal places.) The p-value is Select an answer less than (or equal to) alpha greater…
The distribution of the number of motor vehicles per household in the United States (the population) and sampling distributions of the mean for samples of size 4 and 10 are shown in below. A.Which distribution is which? Make a rough estimate of the mean and standard deviation of each distribution. Explain the reasons of your choices.b. The mean of the population is about 1.7. Theoretically, what is the mean of the sampling distribution for samples of size 4? Of size 10? Are these computed means consistent with your estimates of the means in the histograms? Briefly explain.c. The standard deviation of the population is about 1. Theoretically, what is the Standard Error (SE) of the sampling distribution for samples of size 4? Of size 10? Are these computed SEs consistent with your estimates of the SEs in the histograms? Briefly explain.d. Compare the shapes of the three distributions. Are the shapes consistent with the Central Limit Theorem? Briefly explain.
A population has a mean = 73 and a standard deviation σ = 22. Find the mean and standard deviation of a sampling distribution of sample means with sample size n=240. 1x = (Simplify your answer.)
A population has a mean µ = 87 and a standard deviation o=27. Find the mean and standard deviation of a sampling distribution of sample means with sample size n = 81. (Simplify your answer.)
On average, a banana will last 6.5 days from the time it is purchased in the store to the time it is too rotten to eat. Is the mean time to spoil different if the banana is hung from the ceiling? The data show results of an experiment with 11 bananas that are hung from the ceiling. Assume that that distribution of the population is normal. 5.3, 6, 5.5, 7, 5.4, 5.7, 6.2, 6.4, 9.1, 8.7, 8.3 What can be concluded at the the a = 0.01 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ?v Select an answerv H: ?vSelect an answerv C. The test statistic ?v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ?v a f. Based on this, we should Select an answerv the null hypothesis. R. Thus, the final conclusion is that 2
P3. Show that the mle of unknown standard deviation when the mean is known is different from the sample standard deviation when the random sample is taken from a normal population characterized by two parameters, mean and variance. Which estimator is unbiased? Justify your answer. Show that a sample mean is a minimum variance unbiased estimator of the mean of a normal population with known variance.