Thread: chebyshev inequality

In general what does the chebyshev inequality refers and how can I prove this theorem using integral signs?

as usual I don't understand your questions
what is 'integral signs'?
The proof consists of splitting the integral into two pieces and throwing away one
and using an inequality on the other
http://en.wikipedia.org/wiki/Chebyshev's_inequality

Originally Posted by roshanhero

In general what does the chebyshev inequality refers and how can I prove this theorem using integral signs?

http://people.csail.mit.edu/ronitt/COURSE/S07/lec25.pdf

Chebyshev's inequality: Definition from Answers.com

A symmetrical die is thrown 600 times.What is the lower bound of getting 80 to 120 sixes?

that's a binomial problem that can be fairly approximated with the normal ditsribution via the central limit theorem

n=100, p=1/6 hence the mean is 100
you need to figure out what 20 is in terms of the st. deviation
the variance is npq

Originally Posted by matheagle

that's a binomial problem that can be fairly approximated with the normal ditsribution via the central limit theorem

n=100, p=1/6 hence the mean is 100
you need to igure out what 20 is in terms of the st. deviation
the variance is npq

But the "standard deviation" is defined as the square root of the variance. Since the variance is "npq", the standard deviation is

20 is standard deviations.

That question needs to be done by using chebyshev inequality.

we answered that
20 is how many st deviations...
HENCE, divide 20 by and plug that into chebyshev's

AND lower bound on what?
we assume you mean probabilities here.
solve for k and plug into the inequality on either of those links.