Finding upper and lower limits of a graph

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SUMMARY

This discussion focuses on determining the upper and lower limits that enclose 80% of data points in a quantity vs. time graph using Chebyshev's Inequality. The user successfully calculated the limits by applying the formula involving the standard deviation, specifically using the expression (SquareRoot 5 * Standard Deviation)/2. However, they encountered issues with negative lower limits in certain graphs, which raised concerns about the applicability of Chebyshev's Inequality in those cases. The conversation emphasizes the importance of understanding the context of the data when applying statistical methods.

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  • Understanding of Chebyshev's Inequality
  • Basic knowledge of standard deviation
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  • Concept of data distribution in statistics
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Homework Statement


This is not really a homework problem, but it looks like a rather easy problem that I can't quite figure out.

So I have a graph like shown in the attachment: a quantity vs time graph with some data points. I had no problem finding the average, but now I want to find both an upper and lower limits that would enclose 80% of the data points (so like what I have drawn in the graph). My question is: how can I do that using a simple program like Excel?


Homework Equations


I tried applying Chebycheff's Inequality
http://en.wikipedia.org/wiki/Standard_deviation"

For 80% of the data points, I found the number of standard deviations from the average would be SquareRoot 5. So (SquareRoot 5 * Standard Deviation)/2 , and then add and subtract that from the average to find the limits.

The Attempt at a Solution


Chebycheff's Inequality worked for most graphs. However, for some graphs, I would get a negative value for the lower limit and that's not what I want to see.


Thanks for the help!
 

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Chebycheff's Inequality will give difference from the mean. Since here the mean is 80 I don't think you are in any danger of getting a negative lower limit!
 
HallsofIvy said:
Chebycheff's Inequality will give difference from the mean. Since here the mean is 80 I don't think you are in any danger of getting a negative lower limit!

well I just made up that graph. I can't show the data that I'm working with because it's confidential. Anyhow, there are graphs where if I apply the Chebycheff's Inequality, I get a negative value for the lower limit.
 

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