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The 107 pages that link to Expected value, each with the reason it gives.

• Gaussian distributionRelated: For a Gaussian distribution, the expected value is its center and symmetry point.

• Minimax theoremBroader topic: The guaranteed payoff is an expectation when players randomize.

• Ordinary least squaresRelated: Unbiasedness of OLS is defined by comparing expected coefficient estimates with true parameters.

• Schema (psychology)Related: Schemas generate expectations that guide interpretation before all relevant information is available.

• Allais paradoxCompared with: The paradox concerns utility-based predictions, not simply maximizing average monetary payoff.

• Chebyshev's sum inequalityRelated: The finite inequality yields expectation bounds when ordered functions are evaluated on the same variable.

• Hash tableRelated: Expected-time claims for randomized hashing are averages over random choices or inputs.

• Jacob BernoulliRelated: Comparing observed frequencies with their expected value clarifies the theorem’s claim.

• Coupon collector's problemNarrower topic: The problem asks for the average number of draws until complete collection.

• Hypergeometric distributionRelated: The expected success count is sample size multiplied by the population success proportion.

• Negative binomial distributionRelated: It gives the distribution's average number of failures before the target is reached.

• Source coding theoremRelated: Fidelity constraints commonly bound expected distortion across source outcomes.

• St. Petersburg paradoxRelated: Its sum over the lottery’s possible payouts diverges, producing infinite expected monetary value.

• BetrayalRelated: A breach counts as betrayal when conduct violates an anticipated duty or assurance.

• BluffingRelated: A player weighs the payoff from a successful bluff against the cost of being called.

• CasinoRelated: It explains why a game can be fair on each round yet profitable for the casino over time.

• Concentration inequalityRelated: Many inequalities measure departures from this central value.

• Golf course managementRelated: Choosing a shot often means weighing a likely safe result against a costly miss.

• Hoeffding's inequalityRelated: The inequality measures deviations from the sum’s expected value.

• Integrable functionRelated: A random variable has finite absolute expectation exactly when its magnitude is integrable.

• Linearity of expectationNarrower topic: Linearity applies to expected values, which average each variable over its probability distribution.

• Weighted averageRelated: It is a weighted average with probabilities as the weights.

• Adaptive expectationsNarrower topic: Adaptive expectations are one specific way economic agents form beliefs about the future.

• PromiseRelated: A promise gives its recipient a specific expectation about future conduct.

• Five-card drawRelated: It helps evaluate whether a draw or bet is profitable over time.

• Poisson limit theoremRelated: The product of trial count and success probability is the binomial mean held fixed.

• Poker strategyRelated: It provides a common measure for comparing bets, calls, folds, and raises.

• Iterated integralRelated: For several continuous variables, expectation is computed by integrating against their joint density.

• Shannon's source coding theoremRelated: The theorem compares entropy with expected code length, not each individual length.

• Discrete uniform distributionRelated: For equally likely numeric values, the expected value is their ordinary arithmetic mean.

• Draw pokerRelated: Comparing possible draws by expected value clarifies whether discarding is worthwhile.

• Hermite–Hadamard inequalityRelated: The inequality bounds the expectation of a convex function of a uniform random variable.

• Law of total expectationNarrower topic: The law decomposes this average into averages within cases.

• Law of total varianceNarrower topic: Both conditional variance and conditional-mean variance are averaged or computed through expectations.

• Regression toward the meanRelated: The phenomenon concerns the expected next measurement, not a guarantee about any particular case.

• Snakes and LaddersRelated: It helps calculate how many turns a player can expect to need to finish.

• Wiener–Khinchin theoremRelated: Autocorrelation is defined using an expectation over the process.

• CrapsRelated: It quantifies the average return built into each craps wager.

• Game of chanceRelated: It summarizes the average monetary result of repeated plays.

• Slot machineRelated: Expected value explains why a game can pay frequently yet remain unfavorable over time.

• Von Neumann–Morgenstern utility theoremRelated: Expected utility applies this averaging operation to utility, rather than directly to outcomes.

• Wald's equationNarrower topic: Both the random count and the summed variables are evaluated through expectation.

• Continuous uniform distributionRelated: Symmetry places the mean at the interval’s midpoint.

• De Moivre–Laplace theoremRelated: The binomial count is centered at its expected value before scaling.

• Kolmogorov's inequalityRelated: The mean-zero condition centers each increment before the sums are controlled.

• Kolmogorov's two-series theoremRelated: Convergence of the expectations controls the deterministic drift of the partial sums.

• Le Cam's theoremRelated: The Poisson approximation uses the sum's expected value as its parameter.

• Limits of integrationRelated: For a continuous variable, its density is integrated across the variable's range.

• Popoviciu's inequalityRelated: The variance is computed relative to this central value.

• Bienaymé's identityRelated: Variance is defined through expectation, which also expands the squared sum.