Dice throw, avg.,standard deviation

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SUMMARY

The discussion centers on calculating the average and standard deviation of a dice throw using the formulas for expected value and variance. The expected value, denoted as , is calculated as the sum of the outcomes divided by the number of outcomes, yielding = 3.5 for a fair six-sided die. The variance is derived from the formula - ^2, leading to a standard deviation of approximately σ_x ≈ 1.291. The calculations and formulas provided are confirmed to be correct.

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  • Knowledge of variance and standard deviation concepts
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Students in statistics or probability courses, educators teaching statistical concepts, and anyone interested in understanding the mathematical principles behind dice games and random events.

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Homework Statement


upload_2017-9-11_16-42-6.png


Homework Equations

The Attempt at a Solution


Let's denote the result of the throw by the variable x.
## <x> = Σ_i P_i x_i , i = 1,2,3,...,6.
\\= \frac{1+2+3+4+5+6}{6}
\\<x^2> = \frac{1^2+2^2+3^2+4^2+5^2+6^2}{6}
\\σ_x = \sqrt{<x^2> - <x>^2} ##
Is this correct?
 
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Your formulas appear to be correct.
you should get a standard deviation of the form: ##\sigma_x \approx ## *.**7825.
 
The book claims the answer is that all the magnitudes are the same because "the gravitational force on the penguin is the same". I'm having trouble understanding this. I thought the buoyant force was equal to the weight of the fluid displaced. Weight depends on mass which depends on density. Therefore, due to the differing densities the buoyant force will be different in each case? Is this incorrect?

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