analysis of variance

İngilizce - Türkçe

analysis of variance teriminin İngilizce Türkçe sözlükte anlamı: varyans analizi

İngilizce - İngilizce

analysis of variance teriminin İngilizce İngilizce sözlükte anlamı: A collection of statistical models, and their associated procedures, in which the observed variance is partitioned into components due to different explanatory variables; anova; Analysis of variance (ANOVA) is a statistical test which compares the distribution of two or more sample groups to determine if one or more of the groups are significantly different from the others The sample groups must be gaussian in distribution In an analysis of variation, the average variance within each of the sample groups is factored out from the variance between each of the sample groups before computing the probability of significant differences between the groups; A statistical technique for resolving the total variability of a set of data into systematic and random components The analysis of variance is fundamentally a statistical estimating and/or testing procedure It estimates the components of variance due to systematic and random causes, and it leads to significance tests of these components The statistical assumptions required for a valid test are more stringent than those for estimating the components of variance; An analysis of the variation in the outcomes of an experiment to assess the contribution of each variable to the variation; a 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; A basic statistical technique for analyzing experimental data It subdivides the total variation of a data set into meaningful component parts associated with specific sources of variation in order to test a hypothesis on the parameters of the model or to estimate variance components There are three models: fixed, random and mixed; A statistical method for comparing the means of multiple groups; A body of methods for determining the influences of various postulated variables or factors on the variability of a response variable, such as the influences of wheat variety and soil type on crop yield; A statistical technique to test the equality of three or more sample means and thus make inferences whether the samples have come from populations having the same mean; Statistical test compares the influence of two or more groups of one or more nominal independent variables on a continuous level dependent variable; represented by the symbol F; also referred to as ANOVA; A test of differences between mean scores of two or more groups with one or more variables; A method of analysis for determining the level of statistical significance of differences among the means of two or more variables; a method of testing metric variables against a single dependent categorical measure to determine whether or not the means differ across all groups; A hypothesis-testing procedure that is used to evaluate mean differences between two or more treatments (or populations); (Anova) The partitioning of total sum of squares into the sum of squares explained by the model and the remaining sum of squares unexplained; (ANOVA) the systematic method of statistically evaluating experimental results in order to separate the sources of variation; A statistical technique for testing for differences in the means of several groups; A method for analyzing the differences in the means of two or more groups of cases Topic areas: Accountability and Evaluation; A mathematical process for separating the variability of a group of observations into assignable causes and setting up various significance tests; (ANOVA) a basic statistical technique for analyzing experimental data It subdivides the total variation of a data set into meaningful component parts associated with specific sources of variation in order to test a hypothesis on the parameters of the model or to estimate variance components; Analysis of variance, frequently abbreviated ANOVA, is a statistical test used with interval data to determine if multiple samples come from populations with equal means Like chi-square, ANOVA tests for significant variation between groups or samples However, ANOVA requires interval data and signifies differences in sample means; A statistical technique for comparing differences between groups