May 12, 2021 · Chebyshev's inequality says that the area in the red box is less than the area under the blue curve $f (x)$. The only issue with this picture is that, depending on $\lambda$ and $f$, you …

Regarding Chebyshev's and Markov's inequality. What is the relation (if any) between them? Which one is more strict (and in which situation)? Is there an easy way to understand what they express (kind of …

Dec 8, 2018 · The height of a person is a random variable with variance $\\leq 5$ square inches. According to Mr. Chebyshev, how many people do we need to sample to ensure that the sample …

I'm unaware of Chebyshev's inequality hence I can't do this question, can anyone help. Q) A company produces planks whose length is a random variable of mean 2.5m and standard deviation 0.1m. Use …

Dec 14, 2025 · While an a n comes from expanding around z = 0 z = 0 (Taylor series) and En(f) E n (f) usually relates to expanding in Chebyshev polynomials (which live on [−1, 1] [1, 1]), the difference …

Aug 11, 2018 · Chebyshev's inequality application and convergence - practical example Ask Question Asked 7 years, 5 months ago Modified 7 years, 5 months ago

Mar 13, 2017 · Is there any intuition behind Chebyshev's inequality or is that only pure mathematics? What strikes me is that any random variable (whatever distribution it has) applies to that.

real analysis, chebyshev's inequality Ask Question Asked 11 years, 9 months ago Modified 11 years, 9 months ago

Jun 30, 2015 · Chebyshev polynomials are a complete base of L2(−1, 1) L 2 (1, 1) with respect to the inner product ∫1 −1 f⋅g 1−x2√ dx ∫ 1 1 f g 1 x 2 d x, you should know this. I do not understand your …

Aug 9, 2022 · The points x~k x k 's are called Chebyshev–Lobatto points, Chebyshev extreme points, or Chebyshev points of the second kind. See e.g. Lloyd N. Trefethen, Approximation Theory and …