A population has a mean of 1398.25and standard deviation of246.85 15Suppose we double the sample size to n = 2 × 82 = 164. Regarding the impact of changing the sample size on the margin of sampling error, doubling the sample size, but keeping the error probability α at 5%, would,aIncrease by50%bDecrease by50%cDecrease by38%dDecrease by29%

what will be the impact of changing the sample size on the margin of sampling error, doubling the…

Answered: Suppose we double the sample size to n…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A population is known to be normally distributed with standard deviation known to be 6.3. In order to test the hypothesis that the true value of the mean is 19 researchers collect a sample of size 36 and calculate the sample mean to be 16. State the distribution of the sample mean and then test this hypothesis using the appropriate test.
An IQ test is designed so that the mean is 100 and the standard deviation is 15 for the population of normal adults. Find the sample size necessary to estimate the mean IQ score of statistics students such that it can be said with 99% confidence that the sample mean is within 6 IQ points of the true mean. Assume that σ=15 and determine the required sample size using technology. Then determine if this is a reasonable sample size for a real world calculation.
A population has a mean of 200 and a standard deviation of 90. Suppose a simple random sample of size 125 is selected and is used to estimate μ. Use z-table. a. What is the probability that the sample mean will be within 18 of the population mean (to 4 decimals)? b. What is the probability that the sample mean will be within 16 of the population mean (to 4 decimals)?
A sample of n=36 scores has a standard error of 3. What is the standard deviation of the population from which the sample is obtained?
An IQ test is designed so that the mean is 100 and the standard deviation is 14 for the population of normal adults. Find the sample size necessary to estimate the mean IQ score of statistics students such that it can be said with 95% confidence that the sample mean is within 7 IQ points of the true mean. Assume that σ=14 and determine the required sample size using technology. Then determine if this is a reasonable sample size for a real world calculation.
Answer number 3 to 5 pls. I don't want to waste my money here
An IQ test is designed so that the mean is 100 and the standard deviation is 10 for the population of normal adults. Find the sample size necessary to estimate the mean IQ score of statistics students such that it can be said with 99% confidence that the sample mean is within 4 IQ points of the true mean. Assume that σ=10 and determine the required sample size using technology. Then determine if this is a reasonable sample size for a real world calculation.
A population of size 20 is sampled without replacement. The standard deviation of the population is 0.35. We require the standard error of the mean to be no more than 0.15. What is the minimum sample size?
Assume all populations are normally distributed. A travel analyst claims that the mean price of a round trip flight from New York City to Los Angeles is less than $507. In a random sample of 55 round trip flights from NYC to LA, the mean price is $502. Assume the population standard deviation is $111. At α = 0.05, is there enough evidence to support the travel analyst’s claim?
A normal population has a standard deviation of 10. A random sample of 100 is taken to test H0:μ = 50, H1:μ ≠50 at the 0.05 significance level. The sample mean is 52. The p-value is?
A population has mean u = 26 and standard deviation o= 22. Find u, and o- for samples of sizen=100. Round your answers to one decimal place if needed.

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a	Increase by	50%
b	Decrease by	50%
c	Decrease by	38%
d	Decrease by	29%

Suppose we double the sample size to n = 2 × 82 = 164. Regarding the impact of changing the sample size on the margin of sampling error, doubling the sample size, but keeping the error probability α at 5%, would, a Increase by 50% b Decrease by 50% c Decrease by 38% d Decrease by 29%