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estatistika [is.ta.tis.ti.ka.] : statistics (n.)
Synonyms: estadistika

Derivatives of estatistika


Glosses:
statistics
n. (cognition)1. statisticsa branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters.
~ sampling(statistics) the selection of a suitable sample for study.
~ distribution, statistical distribution(statistics) an arrangement of values of a variable showing their observed or theoretical frequency of occurrence.
~ centile, percentile(statistics) any of the 99 numbered points that divide an ordered set of scores into 100 parts each of which contains one-hundredth of the total.
~ decile(statistics) any of nine points that divided a distribution of ranked scores into equal intervals where each interval contains one-tenth of the scores.
~ quartile(statistics) any of three points that divide an ordered distribution into four parts each containing one quarter of the scores.
~ cross sectiona sample meant to be representative of a whole population.
~ grab samplea single sample or measurement taken at a specific time or over as short a period as feasible.
~ random samplea sample grabbed at random.
~ experimental variable, independent variable(statistics) a variable whose values are independent of changes in the values of other variables.
~ degree of freedom(statistics) an unrestricted variable in a frequency distribution.
~ dependent variable(statistics) a variable in a logical or mathematical expression whose value depends on the independent variable.; "if f(x)=y, y is the dependent variable"
~ predictor variablea variable that can be used to predict the value of another variable (as in statistical regression).
~ bernoulli's law, law of large numbers(statistics) law stating that a large number of items taken at random from a population will (on the average) have the population statistics.
~ bayes' theorem(statistics) a theorem describing how the conditional probability of a set of possible causes for a given observed event can be computed from knowledge of the probability of each cause and the conditional probability of the outcome of each cause.
~ bayes' postulate(statistics) the difficulty of applying Bayes' theorem is that the probabilities of the different causes are seldom known, in which case it may be postulated that they are all equal (sometimes known as postulating the equidistribution of ignorance).
~ applied math, applied mathematicsthe branches of mathematics that are involved in the study of the physical or biological or sociological world.
~ statistical method, statistical procedurea method of analyzing or representing statistical data; a procedure for calculating a statistic.
~ statistical method, statistical procedurea method of analyzing or representing statistical data; a procedure for calculating a statistic.
~ least squares, method of least squaresa method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve.
~ multivariate analysisa generic term for any statistical technique used to analyze data from more than one variable.
~ statistica datum that can be represented numerically.
~ average, norma statistic describing the location of a distribution.; "it set the norm for American homes"
~ demographica statistic characterizing human populations (or segments of human populations broken down by age or sex or income etc.).
~ deviationthe difference between an observed value and the expected value of a variable or function.
~ momentthe n-th moment of a distribution is the expected value of the n-th power of the deviations from a fixed value.
~ distribution free statistic, nonparametric statistica statistic computed without knowledge of the form or the parameters of the distribution from which observations are drawn.
~ parametric statisticany statistic computed by procedures that assume the data were drawn from a particular distribution.
~ outlieran extreme deviation from the mean.
~ mean deviation, mean deviation from the meanthe arithmetic mean of the absolute values of deviations from the mean of a distribution.
~ modal value, modethe most frequent value of a random variable.
~ median, median valuethe value below which 50% of the cases fall.
~ mean, mean valuean average of n numbers computed by adding some function of the numbers and dividing by some function of n.
~ arithmetic mean, expected value, first moment, expectationthe sum of the values of a random variable divided by the number of values.
~ geometric meanthe mean of n numbers expressed as the n-th root of their product.
~ harmonic meanthe mean of n numbers expressed as the reciprocal of the arithmetic mean of the reciprocals of the numbers.
~ second momentthe expected value of the square of the deviations of a random variable from the point of origin.
~ variancethe second moment around the mean; the expected value of the square of the deviations of a random variable from its mean value.
~ standard deviationthe square root of the variance.
~ covariance(statistics) the mean value of the product of the deviations of two variates from their respective means.
~ frequency distributiona distribution of observed frequencies of occurrence of the values of a variable.
~ gaussian distribution, normal distributiona theoretical distribution with finite mean and variance.
~ poisson distributiona theoretical distribution that is a good approximation to the binomial distribution when the probability is small and the number of trials is large.
~ bell-shaped curve, gaussian curve, gaussian shape, normal curvea symmetrical curve representing the normal distribution.
~ universe, population(statistics) the entire aggregation of items from which samples can be drawn.; "it is an estimate of the mean of the population"
~ subpopulationa population that is part of a larger population.
~ sample distribution, sample, samplingitems selected at random from a population and used to test hypotheses about the population.
~ random samplea sample in which every element in the population has an equal chance of being selected.
~ proportional sample, representative sample, stratified samplethe population is divided into strata and a random sample is taken from each stratum.
~ regression toward the mean, simple regression, statistical regression, regressionthe relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x).
~ multiple correlation, multiple regressiona statistical technique that predicts values of one variable on the basis of two or more other variables.
~ multicollinearitya case of multiple regression in which the predictor variables are themselves highly correlated.
~ regression analysisthe use of regression to make quantitative predictions of one variable from the values of another.
~ regression equation, regression of y on xthe equation representing the relation between selected values of one variable (x) and observed values of the other (y); it permits the prediction of the most probable values of y.
~ regression coefficientwhen the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line.
~ linear regression, rectilinear regressionthe relation between variables when the regression equation is linear: e.g., y = ax + b.
~ curvilinear regressionthe relation between variables when the regression equation is nonlinear (quadratic or higher order).
~ regression curve, regression linea smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line.
~ time seriesa series of values of a variable at successive times.
~ vital statisticsdata relating to births and deaths and health and diseases and marriages.
~ correlational analysisthe use of statistical correlation to evaluate the strength of the relations between variables.
~ correlation matrixa matrix giving the correlations between all pairs of data sets.
~ factor analysisany of several methods for reducing correlational data to a smaller number of dimensions or factors; beginning with a correlation matrix a small number of components or factors are extracted that are regarded as the basic variables that account for the interrelations observed in the data.
~ analysis of variance, anovaa statistical method for making simultaneous comparisons between two or more means; a statistical method that yields values that can be tested to determine whether a significant relation exists between variables.
~ correlation tablea two-way tabulation of the relations between correlates; row headings are the scores on one variable and column headings are the scores on the second variables and a cell shows how many times the score on that row was associated with the score in that column.
~ correlational statistics, correlationa statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other.
~ curvilinear correlation, nonlinear correlation, skew correlationany correlation in which the rates of change of the variables is not constant.
~ partial correlationa correlation between two variables when the effects of one or more related variables are removed.
~ first-order correlationa partial correlation in which the effects of only one variable are removed (held constant).
~ coefficient of correlation, correlation coefficient, correlationa statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation).; "what is the correlation between those two variables?"
~ covariation(statistics) correlated variation.
~ direct correlation, positive correlationa correlation in which large values of one variable are associated with large values of the other and small with small; the correlation coefficient is between 0 and +1.
~ indirect correlation, negative correlationa correlation in which large values of one variable are associated with small values of the other; the correlation coefficient is between 0 and -1.
~ pearson product-moment correlation coefficient, product-moment correlation coefficientthe most commonly used method of computing a correlation coefficient between variables that are linearly related.
~ multiple correlation coefficientan estimate of the combined influence of two or more variables on the observed (dependent) variable.
~ biserial correlation, biserial correlation coefficienta correlation coefficient in which one variable is many-valued and the other is dichotomous.
~ nonparametric statisticsthe branch of statistics dealing with variables without making assumptions about the form or the parameters of their distribution.
~ rank-difference correlation, rank-difference correlation coefficient, rank-order correlation, rank-order correlation coefficientthe most commonly used method of computing a correlation coefficient between the ranks of scores on two variables.
~ kendall testany of several nonparametric measures of correlation (used when the assumptions of standard correlational analysis are not met).
~ kendall partial rank correlationa nonparametric measure of partial correlation.
~ coefficient of concordancea coefficient of agreement (concordance) between different sets of rank orderings of the same set of things.
~ kendall's tau, kendall rank correlation, tau coefficient of correlationa nonparametric measure of the agreement between two rankings.
~ fourfold point correlation, phi coefficient, phi correlationan index of the relation between any two sets of scores that can both be represented on ordered binary dimensions (e.g., male-female).
~ chance-half correlation, split-half correlationa correlation coefficient calculated between scores on two halves of a test; taken as an indication of the reliability of the test.
~ tetrachoric correlation, tetrachoric correlation coefficienta correlation coefficient computed for two normally distributed variables that are both expressed as a dichotomy.
~ spurious correlationa correlation between two variables (e.g., between the number of electric motors in the home and grades at school) that does not result from any direct relation between them (buying electric motors will not raise grades) but from their relation to other variables.
~ bernoulli distribution, binomial distributiona theoretical distribution of the number of successes in a finite set of independent trials with a constant probability of success.
~ binomial theorema theorem giving the expansion of a binomial raised to a given power.
~ probability theory, theory of probabilitythe branch of applied mathematics that deals with probabilities.
~ biometrics, biometry, biostatisticsa branch of biology that studies biological phenomena and observations by means of statistical analysis.
~ information theory(computer science) a statistical theory dealing with the limits and efficiency of information processing.
~ actuary, statisticiansomeone versed in the collection and interpretation of numerical data (especially someone who uses statistics to calculate insurance premiums).
~ weighting, weight(statistics) a coefficient assigned to elements of a frequency distribution in order to represent their relative importance.
~ co-varyvary in the same time period (of two random variables).
~ bimodalof a distribution; having or occurring with two modes.
~ unimodalhaving a single mode.
~ average, meanapproximating the statistical norm or average or expected value.; "the average income in New England is below that of the nation"; "of average height for his age"; "the mean annual rainfall"
~ median, averagerelating to or constituting the middle value of an ordered set of values (or the average of the middle two in a set with an even number of values).; "the median value of 17, 20, and 36 is 20"; "the median income for the year was $15,000"
~ modal, averagerelating to or constituting the most frequent value in a distribution.; "the modal age at which American novelists reach their peak is 30"
~ subnormalbelow normal or average.; "after the floods the harvests were subnormal"; "subnormal intelligence"
~ supernormalexceeding the normal or average.; "years of supernormal employment during the war"; "a phase of supernormal excitability"
~ ergodicpositive recurrent aperiodic state of stochastic systems; tending in probability to a limiting form that is independent of the initial conditions.
~ stochasticbeing or having a random variable.; "a stochastic variable"; "stochastic processes"
~ significanttoo closely correlated to be attributed to chance and therefore indicating a systematic relation.; "the interaction effect is significant at the .01 level"; "no significant difference was found"
~ nonsignificantattributable to chance.
~ multivariatepertaining to any procedure involving two or more variables.
~ nonparametricnot involving an estimation of the parameters of a statistic.