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EXPECTED VALUE

  • Expected value
  • Average value of a random variable

    theory, the expected value (also called expectation, mean, or first moment) is a generalization of the weighted average. The expected value of a random

    Expected value

    Expected value

    Expected_value

  • Expected
  • Topics referred to by the same term

    Look up expected in Wiktionary, the free dictionary. Expected may refer to: Expectation (epistemic) Expected value Expected shortfall Expected utility

    Expected

    Expected

  • Expected goals
  • Performance metric in football and hockey

    player would be expected to score given the chances created, independent of whether those chances were actually converted. xG values are produced by statistical

    Expected goals

    Expected_goals

  • Expected shortfall
  • Risk measure estimating the average loss in the worst tail of the distribution

    "expected shortfall at q% level" is the expected return on the portfolio in the worst q % {\displaystyle q\%} of cases. ES is an alternative to value at

    Expected shortfall

    Expected_shortfall

  • Expected value (disambiguation)
  • Topics referred to by the same term

    Expected value is a term used in probability theory and statistics. It may also refer to: Expectation value (quantum mechanics), the probabilistic expected

    Expected value (disambiguation)

    Expected_value_(disambiguation)

  • Expected value of perfect information
  • Decision theory term

    The expected value of perfect information analysis tries to measure the expected cost of that uncertainty, which “can be interpreted as the expected value

    Expected value of perfect information

    Expected_value_of_perfect_information

  • Conditional expectation
  • Expected value of a random variable given that certain conditions are known to occur

    conditional expectation, conditional expected value, or conditional mean of a random variable is its expected value evaluated with respect to the conditional

    Conditional expectation

    Conditional_expectation

  • Expected utility hypothesis
  • Concept in economics

    social behaviour. The expected utility hypothesis states an agent chooses between risky prospects by comparing expected utility values (i.e., the weighted

    Expected utility hypothesis

    Expected_utility_hypothesis

  • Actuarial present value
  • Expected present value of life-contingent cash flows

    The actuarial present value (APV) is the expected value of the present value of future payments whose timing or amount depends on uncertain events such

    Actuarial present value

    Actuarial_present_value

  • Roulette
  • Casino game of chance

    The expected value of a $1 bet (except for the special case of top line bets), for American and European roulette, can be calculated as expected value =

    Roulette

    Roulette

    Roulette

  • Ergodicity economics
  • Theory that attempts to blend economics and ergodic theory

    instance, expected-utility theory was proposed in 1738 by Daniel Bernoulli as a way of modeling behavior which is inconsistent with expected-value maximization

    Ergodicity economics

    Ergodicity_economics

  • Value of information
  • Amount in information economics

    known expected value of perfect information (EVPI) and expected value of sample information (EVSI). Note that VoI is not necessarily equal to "value of decision

    Value of information

    Value_of_information

  • Net present value
  • Valuation in finance

    whether a planned activity is expected to create value. NPV works by converting future cash flows into their “present value,” recognising that money available

    Net present value

    Net_present_value

  • Expected value of sample information
  • In decision theory, the expected value of sample information (EVSI) is the expected increase in utility that a decision-maker could obtain from gaining

    Expected value of sample information

    Expected_value_of_sample_information

  • Law of large numbers
  • Averages of repeated trials converge to the expected value

    small number of observations will coincide with the expected value or that a streak of one value will immediately be "balanced" by the others . Throughout

    Law of large numbers

    Law of large numbers

    Law_of_large_numbers

  • Expected return
  • Expected gain on a financial investment

    The expected return (or expected gain) on a financial investment is the expected value of its return (of the profit on the investment). It is a measure

    Expected return

    Expected_return

  • Moran's I
  • Measure of spatial autocorrelation

    conclusions you make about a phenomenon, especially when using distances. The expected value of Moran's I under the null hypothesis of no spatial autocorrelation

    Moran's I

    Moran's I

    Moran's_I

  • Expected commercial value
  • Prospect-weighted valuation method for assessing uncertain project outcomes

    Expected commercial value (ECV), also known as estimated commercial value, is a prospect-weighted value for a "project" with unclear conclusions; it is

    Expected commercial value

    Expected_commercial_value

  • Expectation value (quantum mechanics)
  • Expected value of a quantum measurement

    In quantum mechanics, the expectation value is the probabilistic expected value of the result (measurement) of an experiment. It can be thought of as

    Expectation value (quantum mechanics)

    Expectation_value_(quantum_mechanics)

  • Q-value (statistics)
  • Statistical hypothesis testing measure

    the q-value in the Storey procedure provides a means to estimate the positive false discovery rate (pFDR). Just as the p-value gives the expected false

    Q-value (statistics)

    Q-value (statistics)

    Q-value_(statistics)

  • Binomial distribution
  • Probability distribution

    then the expected value of X is: E ⁡ [ X ] = n p . {\displaystyle \operatorname {E} [X]=np.} This follows from the linearity of the expected value along

    Binomial distribution

    Binomial distribution

    Binomial_distribution

  • Risk aversion
  • Economics theory

    individuals seek to maximise their expected utility rather than the expected monetary value of assets. In defining expected utility in this sense, the pair

    Risk aversion

    Risk aversion

    Risk_aversion

  • Law of total expectation
  • Proposition in probability theory

    e., the expected value of the conditional expected value of X {\displaystyle X} given Y {\displaystyle Y} is the same as the expected value of X {\displaystyle

    Law of total expectation

    Law_of_total_expectation

  • Kelly criterion
  • Bet sizing formula for long-term growth

    maximizing the long-term expected value of the logarithm of wealth, which is equivalent to maximizing the long-term expected geometric growth rate. John

    Kelly criterion

    Kelly criterion

    Kelly_criterion

  • Hadamard test
  • Technique in quantum computation

    Hadamard test is a method used to create a random variable whose expected value is the expected real part R e ⟨ ψ | U | ψ ⟩ {\displaystyle \mathrm {Re} \langle

    Hadamard test

    Hadamard_test

  • Gambler's ruin
  • Concept in probability theory and gambling

    gambler's ruin is the fact that a gambler playing a game with non-positive expected value will eventually go bankrupt, regardless of their betting system. The

    Gambler's ruin

    Gambler's_ruin

  • St. Petersburg paradox
  • Paradox involving a game with repeated coin flipping

    sum grows without bound so the expected win is an infinite amount of money. Considering nothing but the expected value of the net change in one's monetary

    St. Petersburg paradox

    St._Petersburg_paradox

  • Tail value at risk
  • Measure giving the average loss beyond a specified Value-at-Risk level

    is a risk measure associated with the more general value at risk. It quantifies the expected value of the loss given that an event outside a given probability

    Tail value at risk

    Tail_value_at_risk

  • Expected value of including uncertainty
  • Concept in decision theory

    In decision theory and quantitative policy analysis, the expected value of including uncertainty (EVIU) is a measure that quantifies the potential benefit

    Expected value of including uncertainty

    Expected_value_of_including_uncertainty

  • Multivariate random variable
  • Random variable with multiple component dimensions

    {\mathcal {R}}} denotes support of Y {\displaystyle \mathbf {Y} } . The expected value or mean of a random vector X {\displaystyle \mathbf {X} } is a fixed

    Multivariate random variable

    Multivariate random variable

    Multivariate_random_variable

  • Value
  • Topics referred to by the same term

    valuable, value, value types, valued, or values in Wiktionary, the free dictionary. Wikiquote has quotations related to Value. Value or values may refer

    Value

    Value

  • Geometric distribution
  • Probability distribution

    first equation and X {\displaystyle X} does not satisfy the second. The expected value and variance of a geometrically distributed random variable X {\displaystyle

    Geometric distribution

    Geometric distribution

    Geometric_distribution

  • Q–Q plot
  • Comparison of two distributions

    quantile of the expected value of the order statistic of a standard normal distribution. More generally, Shapiro–Wilk test uses the expected values of the order

    Q–Q plot

    Q–Q plot

    Q–Q_plot

  • Deviation (statistics)
  • Difference between a variable's observed value and a reference value

    difference between an observed value and the true value of a quantity of interest (where true value denotes the Expected Value, such as the population mean)

    Deviation (statistics)

    Deviation (statistics)

    Deviation_(statistics)

  • Expected loss
  • Calculation of financial risk

    Expected loss is the sum of the values of all possible losses, each multiplied by the probability of that loss occurring. In bank lending (homes, autos

    Expected loss

    Expected_loss

  • Intrinsic value (finance)
  • Value calculated on simplified assumptions

    model. Expected value Look-through earnings Net realizable value Option (finance) § Basic decomposition Valuation of options § Intrinsic value Option

    Intrinsic value (finance)

    Intrinsic_value_(finance)

  • Minimax
  • Decision rule used for minimizing the possible loss for a worst-case scenario

    making is being non-probabilistic: in contrast to decisions using expected value or expected utility, it makes no assumptions about the probabilities of various

    Minimax

    Minimax

  • Risk
  • Possibility of something bad happening

    the value at risk. Risk is often measured as the expected value of the loss. This combines the probabilities and consequences into a single value. See

    Risk

    Risk

    Risk

  • Law of the unconscious statistician
  • Theorem in probability and statistics

    unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability

    Law of the unconscious statistician

    Law_of_the_unconscious_statistician

  • Martingale (probability theory)
  • Model in probability theory

    stochastic process in which the expected value of the next observation, given all prior observations, is equal to the most recent value. In other words, the conditional

    Martingale (probability theory)

    Martingale (probability theory)

    Martingale_(probability_theory)

  • Martingale (betting system)
  • Gambling strategy where the amount is raised until a person wins or becomes insolvent

    8744%. The expected amount won is (1 × 0.978744) = 0.978744. The expected amount lost is (63 × 0.021256)= 1.339118. Thus, the total expected value for each

    Martingale (betting system)

    Martingale_(betting_system)

  • Optional stopping theorem
  • Theorem in probability theory

    under certain conditions, the expected value of a martingale at a stopping time is equal to its initial expected value. The concept can be understood

    Optional stopping theorem

    Optional_stopping_theorem

  • P-value
  • Function of the observed sample results

    the p-value that can deal with optional continuation of experiments. Second, it is also used to abbreviate "expect value", which is the expected number

    P-value

    P-value

  • Von Mises–Fisher distribution
  • Probability distribution on a hyper-sphere of arbitrary dimension

    the expected value is: A p ( κ ) μ {\displaystyle A_{p}(\kappa ){\boldsymbol {\mu }}} . For κ = 0 {\displaystyle \kappa =0} , the expected value is at

    Von Mises–Fisher distribution

    Von_Mises–Fisher_distribution

  • Gaussian function
  • Mathematical function

    probability density function of a normally distributed random variable with expected value μ = b and variance σ2 = c2. In this case, the Gaussian is of the form

    Gaussian function

    Gaussian_function

  • Loss function
  • Mathematical relation assigning a probability event to a cost

    on the expected value of the loss function; however, this quantity is defined differently under the two paradigms. We first define the expected loss in

    Loss function

    Loss function

    Loss_function

  • Beta distribution
  • Probability distribution

    its expected value: ln ⁡ G X = E ⁡ [ ln ⁡ X ] {\displaystyle \ln G_{X}=\operatorname {E} [\ln X]} For a beta distribution, the expected value integral

    Beta distribution

    Beta distribution

    Beta_distribution

  • Mean
  • Numeric quantity representing the center of a collection of numbers

    {\displaystyle {\bar {x}}} ) to distinguish it from the group mean (or expected value) of the underlying distribution, denoted μ {\displaystyle \mu } or μ

    Mean

    Mean

  • Risk aversion (psychology)
  • Concept in psychology

    with higher or equal expected value. Conversely, rejection of a sure thing in favor of a gamble of lower or equal expected value is known as risk-seeking

    Risk aversion (psychology)

    Risk_aversion_(psychology)

  • Pot odds
  • Poker term

    of winning a hand with a future card in order to estimate the call's expected value. The purpose of this is to statistically guide a player's decision between

    Pot odds

    Pot_odds

  • Stochastic control
  • Probabilistic optimal control

    Gaussian control. Here the model is linear, the objective function is the expected value of a quadratic form, and the disturbances are purely additive. A basic

    Stochastic control

    Stochastic_control

  • Prophet inequality
  • Bound on optimal stopping in random sequences

    expected value of a decision-making process that handles a sequence of random inputs from known probability distributions, relative to the expected value

    Prophet inequality

    Prophet_inequality

  • Time value of money
  • Better to receive money now than later

    their money now only if they expect a favorable net return on their investment in the future, such that the increased value to be available later is sufficiently

    Time value of money

    Time value of money

    Time_value_of_money

  • Mixed Poisson distribution
  • Compound probability distribution

    \pi (\lambda )\,d\lambda .} The variance is always bigger than the expected value. This property is called overdispersion. This is in contrast to the

    Mixed Poisson distribution

    Mixed_Poisson_distribution

  • Expect
  • Extension to the Tcl scripting language

    proper value. # For example, the file size is indeed big and the network # speed is really one problem, you'd better set this # parameter a value. set timeout

    Expect

    Expect

  • Bernoulli distribution
  • Probability distribution modeling a coin toss which need not be fair

    {\displaystyle p} based on a random sample is the sample mean. The expected value of a Bernoulli random variable X {\displaystyle X} is E ⁡ [ X ] = p

    Bernoulli distribution

    Bernoulli distribution

    Bernoulli_distribution

  • Standard deviation
  • Measure of variation in statistics

    This specific one is biased, meaning that its expected value in repeated sampling deviates from the true value, but it is still consistent. Its mean squared

    Standard deviation

    Standard deviation

    Standard_deviation

  • Fixed-odds betting
  • Form of gambling

    fixed-odds arbitrage actions and Dutch books. When a bet has a positive expected value, it is said to be getting "the best of it." In contrast, "laying odds"

    Fixed-odds betting

    Fixed-odds_betting

  • Subjective expected utility
  • Concept in decision theory

    ( x i ) . {\displaystyle P(x_{i}).} The subjective expected utility is the resulting expected value of the utility: E [ u ( X ) ] = ∑ i u ( x i ) P ( x

    Subjective expected utility

    Subjective_expected_utility

  • Gibbs sampling
  • Monte Carlo algorithm

    integral (such as the expected value of one of the variables). Typically, some of the variables correspond to observations whose values are known, and hence

    Gibbs sampling

    Gibbs_sampling

  • Parlay
  • Type of bet

    is profitable in the long term is by calculating the expected value. The formula for expected value is: E [ X ] = x 1 p 1 + x 2 p 2 + x 3 p 3 … x k p k

    Parlay

    Parlay

  • Two envelopes problem
  • Puzzle in logic and mathematics

    switching envelopes. On the other hand, a simple calculation using expected values suggests the opposite conclusion, that it is always beneficial to swap

    Two envelopes problem

    Two envelopes problem

    Two_envelopes_problem

  • Categorical distribution
  • Discrete probability distribution

    that, in the categorical distribution specifically, the expected value of seeing a particular value i is directly specified by the associated parameter pi

    Categorical distribution

    Categorical_distribution

  • Variance
  • Statistical measure of how far values spread from their average

    far a set of numbers are spread out from their average value. It is defined as the expected value of the squared deviation from the mean of a random variable

    Variance

    Variance

    Variance

  • Entropy (information theory)
  • Average uncertainty in variable's states

    "bans", or "hartleys". An equivalent definition of entropy is the expected value of the self-information of a variable. The concept of information entropy

    Entropy (information theory)

    Entropy_(information_theory)

  • Binomial options pricing model
  • Numerical method for the valuation of financial options

    value at the node. The steps are as follows: Under the risk neutrality assumption, today's fair price of a derivative is equal to the expected value of

    Binomial options pricing model

    Binomial_options_pricing_model

  • Cumulative distribution function
  • Probability that random variable X is less than or equal to x

    _{x\to +\infty }x(1-F_{X}(x))=0.} In addition, the (finite) expected value of the real-valued random variable X {\displaystyle X} can be defined on the

    Cumulative distribution function

    Cumulative distribution function

    Cumulative_distribution_function

  • Modern portfolio theory
  • Mathematical framework for investment risk

    used by MPT are based on expected values, which means that they are statistical statements about the future (the expected value of returns is explicit in

    Modern portfolio theory

    Modern portfolio theory

    Modern_portfolio_theory

  • Binomial test
  • Test of statistical significance

    p)=\Pr(X=k)={\binom {n}{k}}p^{k}(1-p)^{n-k}} . As we have observed a value greater than the expected value, we could consider the probability of observing 51 6s or

    Binomial test

    Binomial_test

  • Glossary of probability and statistics
  •   The difference between the expected value of an estimator and the true value. binary data Data that can take only two values, usually represented by the

    Glossary of probability and statistics

    Glossary_of_probability_and_statistics

  • Depreciation
  • Decrease in asset values, or the allocation of cost thereof

    this involves four criteria: Cost of the asset Expected salvage value, also known as the residual value of the assets Estimated useful life of the asset

    Depreciation

    Depreciation

    Depreciation

  • Probability theory
  • Branch of mathematics concerning probability

    descriptions of redirect targets Expected value – Average value of a random variable Variance – Statistical measure of how far values spread from their average

    Probability theory

    Probability theory

    Probability_theory

  • Uncertainty
  • Situations involving imperfect or unknown information

    piece of information that inhibits the calculation of the full set of expected values for the options available. Uncertainty, only when considered as objective

    Uncertainty

    Uncertainty

    Uncertainty

  • Von Neumann–Morgenstern utility theorem
  • Any individual whose preferences satisfy four axioms has a utility function

    the form of maximizing the expected value of some cardinal utility function. The theorem forms the foundation of expected utility theory. In 1947, John

    Von Neumann–Morgenstern utility theorem

    Von_Neumann–Morgenstern_utility_theorem

  • Expected mean squares
  • In statistics, expected mean squares (EMS) are the expected values of certain statistics arising in partitions of sums of squares in the analysis of variance

    Expected mean squares

    Expected_mean_squares

  • Generalized linear model
  • Class of statistical models

    predicts the expected value of a given unknown quantity (the response variable, a random variable) as a linear combination of a set of observed values (predictors)

    Generalized linear model

    Generalized_linear_model

  • Convexity (finance)
  • Concept in mathematical finance

    in probability theory: the expected value of a convex function is greater than or equal to the function of the expected value: E [ f ( X ) ] ≥ f ( E [ X

    Convexity (finance)

    Convexity_(finance)

  • Heston model
  • Model in finance

    long-run average variance of the price; as t tends to infinity, the expected value of νt tends to θ. ρ {\displaystyle \rho } , the correlation of the two

    Heston model

    Heston_model

  • Squared deviations from the mean
  • Calculations in probability theory

    definition of variance is either the expected value of the SDM (when considering a theoretical distribution) or its average value (for actual experimental data)

    Squared deviations from the mean

    Squared_deviations_from_the_mean

  • Q-learning
  • Model-free reinforcement learning algorithm

    Q-learning finds an optimal policy in the sense of maximizing the expected value of the total reward over any and all successive steps, starting from

    Q-learning

    Q-learning

  • Risk-neutral measure
  • Probability measure

    implies that in a complete market, a derivative's price is the discounted expected value of the future payoff under the unique risk-neutral measure. Such a measure

    Risk-neutral measure

    Risk-neutral_measure

  • Estimator
  • Rule for calculating an estimate of a given quantity based on observed data

    error of θ ^ {\displaystyle {\widehat {\theta }}} is defined as the expected value (probability-weighted average, over all samples) of the squared errors;

    Estimator

    Estimator

  • Secretary problem
  • Mathematical problem involving optimal stopping theory

    the expected value of the selected applicant. Since the applicant's values are i.i.d. draws from a uniform distribution on [0, 1], the expected value of

    Secretary problem

    Secretary problem

    Secretary_problem

  • Fixer Upper (TV series)
  • American reality television series

    clawfoot bathtubs, and barn doors, sold at an average of 30 percent above expected value. In addition, the show generated an increase in tourism and economic

    Fixer Upper (TV series)

    Fixer_Upper_(TV_series)

  • McDiarmid's inequality
  • Probability and computer science concept

    concentration inequality which bounds the deviation between the sampled value and the expected value of certain functions when they are evaluated on independent random

    McDiarmid's inequality

    McDiarmid's_inequality

  • Full width at half maximum
  • Concept in statistics and wave theory

    {(x-x_{0})^{2}}{2\sigma ^{2}}}\right]} where σ is the standard deviation and x0 is the expected value, then the relationship between FWHM and the standard deviation is F

    Full width at half maximum

    Full width at half maximum

    Full_width_at_half_maximum

  • Median
  • Middle quantile of a data set or probability distribution

    comparison statistics. The expected value of the median falls slightly as sample size increases while, as would be expected, the standard errors of both

    Median

    Median

    Median

  • Mean squared error
  • Measure of the error of an estimator

    difference between the estimated values and the true value. MSE is a risk function, corresponding to the expected value of the squared error loss. The fact

    Mean squared error

    Mean_squared_error

  • Covariance and correlation
  • Concepts in probability and statistics

    tend to deviate from their expected values in similar ways. If X and Y are two random variables, with means (expected values) μX and μY and standard deviations

    Covariance and correlation

    Covariance_and_correlation

  • Credit spread (options)
  • Investment strategy

    expected payout of the short option. Realized when the price of the underlying at expiration is in between the strikes of the options. Expected value

    Credit spread (options)

    Credit_spread_(options)

  • Fisher information
  • Notion in statistics

    distribution that models X. Formally, it is the variance of the score, or the expected value of the observed information. The role of the Fisher information in the

    Fisher information

    Fisher information

    Fisher_information

  • Poker
  • Card game

    voluntarily by a player who either believes the bet has a positive expected value or who is trying to bluff other players for various strategic reasons

    Poker

    Poker

    Poker

  • Law of total variance
  • Theorem in probability theory

    {\displaystyle \operatorname {Var} (\operatorname {E} [Y\mid X])} are called the expected value of the process variance (EVPV) and the variance of the hypothetical

    Law of total variance

    Law_of_total_variance

  • Black–Scholes model
  • Mathematical model of financial markets

    price given the risk of the security and its expected return (instead replacing the security's expected return with the risk-neutral rate). The equation

    Black–Scholes model

    Black–Scholes_model

  • Equity
  • Topics referred to by the same term

    player's expected share of the pot In backgammon, the average expected value that will be won or lost Brand equity, in marketing, the value built up in

    Equity

    Equity

  • Loss aversion
  • Aspect of decision and prospect theories

    aversion, which describes the rational behavior of valuing an uncertain outcome at less than its expected value. When defined in terms of the pseudo-utility

    Loss aversion

    Loss aversion

    Loss_aversion

  • Moment (mathematics)
  • In mathematics, a quantitative measure of the shape of a set of points

    function is a probability distribution, then the first moment is the expected value, the second central moment is the variance, the third standardized moment

    Moment (mathematics)

    Moment_(mathematics)

  • Additive smoothing
  • Statistical technique for smoothing categorical data

    observed data. From a Bayesian point of view, this corresponds to the expected value of the posterior distribution, using a symmetric Dirichlet distribution

    Additive smoothing

    Additive_smoothing

  • Conditional mutual information
  • Information theory

    information is, in its most basic form, the expected value of the mutual information of two random variables given the value of a third. For random variables X

    Conditional mutual information

    Conditional mutual information

    Conditional_mutual_information

  • Information gain (decision tree)
  • Gain from observing another random variable

    theory and machine learning, information gain refers to the conditional expected value of the Kullback–Leibler divergence of the univariate probability distribution

    Information gain (decision tree)

    Information_gain_(decision_tree)

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Online names & meanings

  • Abal |
  • Girl/Female

    Muslim

    Abal |

    Wild rose

  • Lahairoi
  • Girl/Female

    Biblical

    Lahairoi

    Who liveth and seeth me.

  • Trumper
  • Surname or Lastname

    English

    Trumper

    English : occupational name for a trumpeter, from Old French trumpeur.

  • Leman
  • Boy/Male

    American, Australian, British, English

    Leman

    From the Valley

  • Wanikiy
  • Boy/Male

    Native American

    Wanikiy

    Savior.

  • Gautier
  • Boy/Male

    French, German, Swiss, Teutonic

    Gautier

    Strong Ruler; Army of Power; People of Power; Form of Walter; Ruler of the Army

  • Chakori
  • Girl/Female

    Indian

    Chakori

    A bird enamored of the Moon

  • Paraaga
  • Boy/Male

    Hindu, Indian

    Paraaga

    Flower Necter

  • JÓZSEF
  • Male

    Hungarian

    JÓZSEF

    Hungarian form of Greek Ioseph (Hebrew Yowceph), JÓZSEF means "(God) shall add (another son)."

  • Kifaayat
  • Boy/Male

    Arabic

    Kifaayat

    Sufficiency; Competence

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EXPECTED VALUE

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EXPECTED VALUE

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EXPECTED VALUE

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Other words and meanings similar to

EXPECTED VALUE

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EXPECTED VALUE

  • Unhoped-for
  • a.

    Unhoped; unexpected.

  • Done
  • infinitive.

    Performed; executed; finished.

  • Unwary
  • a.

    Unexpected; unforeseen; unware.

  • Expectable
  • a.

    That may be expected or looked for.

  • Expect
  • v. t.

    To look for (mentally); to look forward to, as to something that is believed to be about to happen or come; to have a previous apprehension of, whether of good or evil; to look for with some confidence; to anticipate; -- often followed by an infinitive, sometimes by a clause (with, or without, that); as, I expect to receive wages; I expect that the troops will be defeated.

  • Expecter
  • n.

    One who expects.

  • Inexpected
  • a.

    Unexpected.

  • Expectation
  • n.

    That which is expected or looked for.

  • Advent
  • n.

    The first or the expected second coming of Christ.

  • Inexpectable
  • a.

    Not to be expected or anticipated.

  • Respondent
  • a.

    Disposed or expected to respond; answering; according; corresponding.

  • Inopinable
  • a.

    Not to be expected; inconceivable.

  • Expected
  • imp. & p. p.

    of Expect

  • Exsert
  • a.

    Alt. of Exserted

  • Prove
  • v. i.

    To succeed; to turn out as expected.

  • Feasible
  • a.

    Capable of being done, executed, or effected; practicable.

  • Even
  • a.

    As might not be expected; -- serving to introduce what is unexpected or less expected.

  • Inopinate
  • a.

    Not expected or looked for.

  • Unexpected
  • a.

    Not expected; coming without warning; sudden.

  • Unhoped
  • a.

    Not hoped or expected.