Mean, Deviation (DEV), and Average (DEV)? question

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SUMMARY

The discussion focuses on calculating the Mean, Deviation (DEV), and Average Deviation (AD) for a dataset consisting of eight values: 0.77, 0.92, 1.12, 1.00, 0.96, 0.88, 1.16, and 1.02. The calculated Mean is confirmed as 0.97875, while the sample standard deviation (DEV) is calculated as 0.126. The Average Deviation (AD) remains unresolved due to insufficient values for calculation. Participants emphasize the importance of clarity in presenting calculations to avoid confusion.

PREREQUISITES
  • Understanding of statistical concepts such as Mean, Standard Deviation, and Average Deviation.
  • Familiarity with the formulas for calculating Mean (μ) and Standard Deviation (σ).
  • Knowledge of sample variance and its application in calculating sample standard deviation (s).
  • Ability to perform basic arithmetic operations and square root calculations.
NEXT STEPS
  • Learn how to calculate Average Deviation (AD) using the formula: AD = (1/n) * Σ|x_i - μ|.
  • Study the differences between population standard deviation and sample standard deviation.
  • Explore the concept of variance and its significance in statistical analysis.
  • Practice with additional datasets to reinforce understanding of Mean, DEV, and AD calculations.
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Students, educators, and professionals in statistics or data analysis who seek to deepen their understanding of statistical measures and improve their calculation skills.

lolzwhut?
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For the following data set of eight values, give the MEAN, DEVIATION (DEV), and AVERAGE DEVIATION (AD). Show a sample calculation for each: 0.77, 0.92, 1.12, 1.00, 0.96, 0.88, 1.16, 1.02



Homework Equations


Well before we began, can anyone take the courtesy and see if I'm getting the correct answer?

MEAN: 0.97875
DEV: .0126 (maybe?)
AD: ?

The Attempt at a Solution



DEV:
(-167/800)^2+(-47/800)^2+(113/800)^2+(-3/160)^2+(-79/808)^2+(29/160)^2+(33/800)^2 = 0.111635/(8-1) = 0.0159 =sqrt(0.0159)=0.126

I'm confused now...I think I found the standard deviation. However, I'm unsure how to even calculate the average deviation cause I don't have enough values. what am i doing wrong? What should I do next?
 
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mean looks good
[tex] \mu = \frac{1}{n}\sum_i x_i[/tex]
terminology, generally I would consider:
standard deviation (square root of variance)
[tex] \sigma = \sqrt{\frac{1}{n}\sum_i (x_i-\mu)^2}[/tex]
sample standard deviation (square root of sample variance)
[tex] s = \sqrt{\frac{1}{n-1}\sum_i (x_i-\mu)^2}[/tex]

can you give your formulas for each DEV and AD?

looks like you are calculating the sample deviation (based on the (8-1) term)
 
Last edited:
lolzwhut? said:
DEV:
(-167/800)^2+(-47/800)^2+(113/800)^2+(-3/160)^2+(-79/808)^2+(29/160)^2+(33/800)^2 = 0.111635/(8-1) = 0.0159 =sqrt(0.0159)=0.126

Also though I cpiece together what you are attempting, writing it like this may confuse things for other people, in particular
lolzwhut? said:
0.0159 =sqrt(0.0159)
which doesn't make any senseit would be better to be break it up into

DEV^2 = (-167/800)^2+(-47/800)^2+(113/800)^2+(-3/160)^2+(-79/808)^2+(29/160)^2+(33/800)^2 = 0.111635/(8-1) = 0.0159

DEV=sqrt(0.0159)=0.126

sorry if it comes across as pedantic, but if its clear what you're attempting you'll generally get a better and quicker answer (probably in test as well)
 
Last edited:

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