When it comes to estimating population parameters from sample statistics, how does the degree of freedom relate to the reliability (or uncertainty) of our calculation? For example, if we calculated variance using an insufficient number of degrees of freedom, in what way would our calculation be flawed, and what are the implications if we used that flawed result to estimate the population mean?
When it comes to estimating population parameters from sample statistics, how does the degree of freedom relate to the reliability (or uncertainty) of our calculation? For example, if we calculated variance using an insufficient number of degrees of freedom, in what way would our calculation be flawed, and what are the implications if we used that flawed result to estimate the population mean?
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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When it comes to estimating population parameters from sample statistics, how does the degree of freedom relate to the reliability (or uncertainty) of our calculation? For example, if we calculated variance using an insufficient number of degrees of freedom, in what way would our calculation be flawed, and what are the implications if we used that flawed result to estimate the population mean?
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