Select the term that best fits this definition: 1. This equals the expected value of a sample mean for a sampling distribution 2. This term equals this: Squrt ((P⋅(1−P))/n) 3. As n increases the standard deviation of the distribution decreases. Options: Central Limit Theorem Law of Large Numbers Standard Error of Sampling Distribution for a Proportion Normal Distribution Approximation Population Mean Sample Statistics Standard Error of Sampling Distribution for a Mean Population Proportion Confidence Interval
Select the term that best fits this definition: 1. This equals the expected value of a sample mean for a sampling distribution 2. This term equals this: Squrt ((P⋅(1−P))/n) 3. As n increases the standard deviation of the distribution decreases. Options: Central Limit Theorem Law of Large Numbers Standard Error of Sampling Distribution for a Proportion Normal Distribution Approximation Population Mean Sample Statistics Standard Error of Sampling Distribution for a Mean Population Proportion Confidence Interval
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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Select the term that best fits this definition:
1. This equals the
2. This term equals this: Squrt ((P⋅(1−P))/n)
3. As n increases the standard deviation of the distribution decreases.
Options:
Central Limit Theorem
Law of Large Numbers
Standard Error of Sampling Distribution for a Proportion
Population Mean
Sample Statistics
Standard Error of Sampling Distribution for a Mean
Population Proportion
Confidence Interval
Answers I've been given from different "experts":
1. Population mean, Confidence Interval, Central limit theorem
2. Standard Error of Sampling Distribution for a Proportion, confidence interval
3. Central Limit Theorem. Law of Large numbers
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