Sum of (Difference from the Mean) divided by degrees of freedom (n - 1):_ - This is called variance. E(x - x)? (n – 1) %3D Final Step: Standard deviation = square root of what you just calculated (variance). %3D E(x-x)² Standard deviation = %D (n-1)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
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CALCULATING STANDARD DEVIATION
The standard deviation is used to tell how far on average any data point is from the mean. The smaller the standard
deviation, the closer the scores are on average to the mean, When the standard deviation is large, the scores are more
widely spread out on average from the mean.
The standard deviation is calculated to find the average distance from the mean.
Practice Problem #1: Calculate the standard deviation of the following test data by hand. Use the chart below to record
the steps.
Test Scores: 22, 99, 102, 33, 57, 75, 100, 81, 62, 29
Mean:
n:
(Difference from the mean)
(x – x)?
Difference from the mean
Test Score
(x)
(x- X)
Sum of (Difference from the mean)
E(x- X)
→ This is called variance.
Sum of (Difference from the Mean) divided by degrees of freedom (n -1):
E(x - x)?
(п — 1)
Final Step:
Standard deviation = square root of what you just calculated (variance).
E(x-x)?
Standard deviation =
(п-1)
Transcribed Image Text:CALCULATING STANDARD DEVIATION The standard deviation is used to tell how far on average any data point is from the mean. The smaller the standard deviation, the closer the scores are on average to the mean, When the standard deviation is large, the scores are more widely spread out on average from the mean. The standard deviation is calculated to find the average distance from the mean. Practice Problem #1: Calculate the standard deviation of the following test data by hand. Use the chart below to record the steps. Test Scores: 22, 99, 102, 33, 57, 75, 100, 81, 62, 29 Mean: n: (Difference from the mean) (x – x)? Difference from the mean Test Score (x) (x- X) Sum of (Difference from the mean) E(x- X) → This is called variance. Sum of (Difference from the Mean) divided by degrees of freedom (n -1): E(x - x)? (п — 1) Final Step: Standard deviation = square root of what you just calculated (variance). E(x-x)? Standard deviation = (п-1)
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