adj
(law, postpositive, formal) Indicating that a tenure or estate in land is not conditional or liable to terminate on (strictly) any occurrence or (sometimes contextually) certain kinds of occurrence.
n
(statistics) The absolute value of the difference between a given value (such as mean or expected value) and a variate value (usually an observed value).
n
(mathematics) The difference (sometimes defined to be the absolute difference) between the measured or inferred value of a quantity and its true value.
n
The subject object relation.
n
Informally, the property of a string being not longer than any computer program that can produce that string; that is, the property of a string being incompressible.
n
(statistics) The significance level of a statistical test; the alpha level.
n
(statistics) type I error
n
(statistics) The significance level of a statistical test.
n
(computing theory) A notional ability always to choose the most favorable option, in constant time.
adj
(mathematics) Describing a time series that reverses itself more often than normal.
n
(programming) The property of an operator which determines how it is grouped with operators of the same precedence in the absence of parentheses.
n
(statistics) An approach to probability which quantifies expectations based on given data, following Bayes' theorem.
n
(statistics) The problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples.
n
(statistics) type II error
n
(statistics) The difference between the expectation of the sample estimator and the true population value, which reduces the representativeness of the estimator by systematically distorting it.
n
(statistics) An alternative to variance; a measure of variability based on summing the product of adjacent data points rather than summing the squares of data points.
adj
(computer science) Of two state transition systems, such that a bisimulation exists between the two.
n
(statistics, of an estimator) The number or proportion of arbitrarily large or small extreme values that must be introduced into a batch or sample to cause the estimator to yield an arbitrarily large result.
n
(data modeling, databases) The property of a relationship between a database table and another one, specifying whether it is one-to-one, one-to-many, many-to-one, or many-to-many.
adj
(probability) Of a set of events: having the property that at least one must occur.
n
(statistics) The probability that a measured quantity will fall within a given confidence interval.
adj
(statistics) Possibly predictive of the outcome under study.
adj
(mathematics) Describes a probability based on belief.
adj
(mathematics, of a Turing machine) Having at most one instruction associated with any given internal state.
n
(statistics) For interval variables and ratio variables, a measure of difference between the observed value and the mean.
n
(computing) Any of a collection of statistical tests for gauging the randomness of a random number generator.
n
(relational algebra) The set of elements that are in one set but not another ( scriptstyle A◌̅B).
adj
(mathematics) Consisting of or permitting only distinct values drawn from a finite, countable set.
n
(statistics) A variable that takes values from a finite or countable set, such as the number of legs of an animal.
adj
(statistics) Describing a situation in which the rank order of two contributory factors changes at some value
n
(statistics) A binary variable that takes a value of 0 or 1 to indicate which category an individual falls into.
n
(statistics, singular only) Synonym of the 68-95-99.7 rule
n
(statistics) type I error
n
(statistics) type II error
n
A branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component.
n
(probability theory) A set of some of the possible outcomes; a subset of the sample space.
n
(statistics) The branch of statistics that deals with random, vague events
n
(statistics) The first moment; the long-run average value of a variable over many independent repetitions of an experiment.
n
(statistics) A variable that predicts or explains the variation in another variable; an explanatory variable.
n
(statistics) A random variable that is not an independent variable and may bear any effect on the behaviour of the subject being studied.
n
(statistics) A type II error (“accepting the null hypothesis when it is false”).
n
(statistics) number of times an event occurred in an experiment (absolute frequency)
n
(statistics) A list, table, or graph that displays the frequency of various outcomes in a sample.
n
An interpretation of probability in terms of frequency, often specifically as the limit of the relative frequency of an event as the sample size approaches infinity.
n
Any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage.
n
(statistics) A binary variable whose value of 0 or 1 indicates which category an individual falls into.
n
(statistics) A branch of statistics studying statistical inference—drawing conclusions about a population from a random sample drawn from it, or, more generally, about a random process from its observed behavior during a finite period of time.
n
(statistics) An ordinal variable with the additional property that the magnitudes of the differences between two values are meaningful.
adj
(mathematics) Proportional to the reciprocal of the independent variable.
n
(econometrics) A test used for testing a null hypothesis that an observable time series is stationary around a deterministic trend (i.e. trend-stationary) against the alternative of a unit root.
n
(statistics) The statistical tendency toward a fixed proportion in the results when an experiment is repeated a large number of times; the law of large numbers.
n
(statistics) An expression of the lack of precision in the results obtained from a sample.
n
(statistics) In a set of data, the average of the absolute values of the deviations from a chosen central point.
n
(statistics) The manner in which data are missing from a sample of a population.
n
(statistics) The most frequently occurring value in a distribution
adj
Of or relating to a form of sampling in which the population is sampled not randomly but according to deliberate criteria.
n
(statistics) A parameter of the distribution of a population that is not directly relevant to solving the significance test or estimate problem under consideration.
n
(statistics) The null hypothesis.
n
(statistics) A hypothesis set up to be nullified or refuted in order to support an alternative hypothesis. When used, the null hypothesis is presumed true until statistical evidence in the form of a hypothesis test indicates otherwise. Therefore, the null and the alternative hypothesis must be mutually exclusive and exhaustive.
n
(statistics) The difference between a measured value of a quantity and its true value.
n
(statistics) In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.
n
(statistics) The probability of an event given the knowledge of occurrence of other events that bear on it; P( A | B ) as contrasted to P( A ), where A is the sought event and B is the sign or symptom event.
n
(statistics) The probability that a statistical test will reject the null hypothesis when the alternative hypothesis is true.
n
(statistics) The probability of an event obtained without the knowledge of occurrence of other events that bear on it.
n
(mathematics, countable) A statement of equality between two ratios.
n
(sciences) A null result obtained as a result of error or interference
n
A device or algorithm that deterministically produces a succession of values that appear in an unpredictable sequence or apparently random order.
n
(statistics, especially in, biology, ecology) The exaggeration of the statistical significance of a set of measurements resulting from treating the data as independent observations when they are in fact interdependent.
n
(computing) A function that returns a random or pseudo-random value that is distributed according to a specific probability distribution associated with the function.
n
A device or algorithm that generates numbers at random or apparently at random. In many cases they actually select successive numbers deterministically and are more technically termed pseudorandom number generator.
n
(statistics) A sample randomly taken from an investigated population.
n
A number or vector used to initialize a pseudorandom number generator.
n
(mathematics) An object taking a random walk
n
(countable) In any process of randomness; the ratio of predicted action to unpredicted action.
n
(mathematics) Any algorithm that uses randomness as part of its logic.
adj
(statistics) Of an estimator, being the result of Rao-Blackwellization.
n
(statistics) The phenomenon by which extreme examples from any set of data are likely to be followed by examples which are less extreme; a tendency towards the average of any sample. For example, the offspring of two very tall individuals tend to be tall, but closer to the average (mean) than either of their parents.
n
(statistics) A range of test values for which the null hypothesis is rejected.
n
(statistics) The number of data points satisfying something divided by the total number of data points.
n
(statistics) the sum of the squared residuals between some model and a dataset; a measure of how well the model fits with the data
adj
(statistics) Not greatly influenced by errors in assumptions about the distribution of sample errors.
n
(mathematics) The process of finding the root of an equation.
n
(statistics) Any function used to obtain a set of samples from a given population
n
(probability theory) A point in the sample space representing some concrete non-decomposable result of an individual experiment.
n
(statistics) The analysis of a group by determining the characteristics of a significant percentage of its members chosen at random.
n
(statistics) The error caused by observing a sample instead of the whole population.
n
(statistics) A measure of how likely it is to draw a false conclusion in a statistical test, when the results are really just random variations.
n
(statistics) Initialism of simple random sample, a sample chosen from a population so that any sample of the same size could have equally likely been chosen.
n
(statistics) Drawing conclusions about a population from a random sample drawn from it, or, more generally, about a random process from its observed behavior during a finite period of time.
n
(statistics) The probability that a statistical test will reject a false null hypothesis, that is, that it will not make a type II error, producing a false negative.
n
Informally, the property of a numeric sequence of containing no recognizable patterns or regularities; exemplified in the results of an ideal die roll, or the digits of π (as far as we can tell).
n
(statistics) A measure of how unlikely it is that a result has occurred by chance.
adj
(probability) Having a p-value of 0.05 or less (having a probability 5% or less of occurring by random chance; less than 1 chance in 20 of it occurring by chance)
n
Ellipsis of Student's t distribution. [(statistics) A distribution that arises when the population standard deviation is unknown and has to be estimated from the data.]
n
(statistics) Any statistical hypothesis test in which the test statistic has a Student's t-distribution if the null hypothesis is true.
n
(statistics, generally) The determination or use of a sampling distribution that is independent of nuisance parameters of the population distribution, which are not directly relevant to the estimates or tests of significance of primary interest.
adj
(logic) In supervaluationism, necessarily true regardless of the values of variables.
n
(statistics) Ellipsis of Student's t test. [(statistics) Any statistical hypothesis test in which the test statistic has a Student's t-distribution if the null hypothesis is true.]
n
(statistics) a model where the dependent variable is censored.
n
(statistics) Rejecting the null hypothesis when the null hypothesis is true.
n
(statistics) the proportion of cases not in the mode
n
(statistics) A test that assesses constraints on statistical parameters based on the weighted distance between the unrestricted estimate and its hypothesized value under the null hypothesis, where the weight is the precision of the estimate.
n
Alternative form of Z score [(statistics) The number of standard deviation units away from the mean a particular value of data lies.]
n
(statistics) type I error
n
(statistics) type II error
Note: Concept clusters like the one above are an experimental OneLook
feature. We've grouped words and phrases into thousands of clusters
based on a statistical analysis of how they are used in writing. Some
of the words and concepts may be vulgar or offensive. The names of the
clusters were written automatically and may not precisely describe
every word within the cluster; furthermore, the clusters may be
missing some entries that you'd normally associate with their
names. Click on a word to look it up on OneLook.
Our daily word games Threepeat and Compound Your Joy are going strong. Bookmark and enjoy!
Today's secret word is 8 letters and means "Believable and worthy of trust." Can you find it?