query: What is the largest possible variance of a random variable on $[0; 1]$?
positive_passages.docid: 147402
positive_passages.text: Maximum of the Variance Function for Given Set of Bounded Numbers
negative_passages.docid: 45751
negative_passages.text: Expectation of the maximum of i.i.d. geometric random variables
negative_passages.docid: 104019
negative_passages.text: Computing the Variance of an MLE
negative_passages.docid: 141861
negative_passages.text: What is meant by the variance of *functions* in *Introduction to Statistical Learning*?
negative_passages.docid: 6190
negative_passages.text: Maximum/minimum of two random variables is a random variable
negative_passages.docid: 95625
negative_passages.text: Variance of product of multiple independent random variables
negative_passages.docid: 63222
negative_passages.text: Expectation of the maximum of gaussian random variables
negative_passages.docid: 72132
negative_passages.text: Expected Value of a Hypergeometric Random Variable
negative_passages.docid: 75030
negative_passages.text: Law of large numbers for non-identically distributed Bernoulli random variables
negative_passages.docid: 136679
negative_passages.text: What is the distribution of the variance of a sample from an unknown distribution?
negative_passages.docid: 81077
negative_passages.text: Prove that $E(X^n)^{1/n}$ is non-decreasing for non-negative random variables
negative_passages.docid: 130631
negative_passages.text: Variance between two random points
negative_passages.docid: 115886
negative_passages.text: E/Var of a random variable on three events
negative_passages.docid: 80987
negative_passages.text: Limit of Multivariate Probability Density Function as one or more or all variables approach positive or negative infinity
negative_passages.docid: 109663
negative_passages.text: Random variables for which Markov, Chebyshev inequalities are tight
negative_passages.docid: 19471
negative_passages.text: Expectation of an absolute value of a normal random variate
negative_passages.docid: 42861
negative_passages.text: Inverse of sum of exponential random variables (mean and variance)