When we are calculating variance (or standard deviation) for a sample and intend to use it as an estimate of what is true for the population from which it was drawn, we divide the sum of the squared deviations of each score from the mean by “N – 1” instead of “N”. How do the values of standard deviation for a sample with the original (N) formula compare to the corrected (N-1) formula? Why do we use the corrected formula? Does this make a bigger difference for small samples or large samples?
When we are calculating variance (or standard deviation) for a sample and intend to use it as an estimate of what is true for the population from which it was drawn, we divide the sum of the squared deviations of each score from the mean by “N – 1” instead of “N”. How do the values of standard deviation for a sample with the original (N) formula compare to the corrected (N-1) formula? Why do we use the corrected formula? Does this make a bigger difference for small samples or large samples?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
When we are calculating variance (or standard deviation) for a sample and intend to use it as an estimate
of what is true for the population from which it was drawn, we divide the sum of the squared deviations of
each score from the
with the original (N) formula compare to the corrected (N-1) formula? Why do we use the corrected
formula? Does this make a bigger difference for small samples or large samples?
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman