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ANOVA stands for ANalysis Of VAriance, a statistical model and set of procedures for comparing multiple group means. The independent variables in an ANOVA model are categorical, but an ANOVA table can be used to test continuous variables as well.

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From nist for the test statistic in one-way ANOVA: The mean squares are formed by dividing the sum of squares by the associated degrees of freedom. Let $N = \sum_i n_i$. Then, the degrees …
asked May 30 '13 by Tim
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I am trying to understand ANOVA. In one-way ANOVA to test equality of mean of several population groups, each group has a normal distribution with the same variance. I wonder if the common variance … of each group is known and used somewhere or unknown and estimated from samples in ANOVA? Thanks and regards! …
asked Oct 11 '11 by Tim
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How do we do two-way ANOVA (one observation per mean), as testing H_A in Section 8.5 in Seber and Lee's Linear Regression Analysis, in R? Note that the linear model for this case doesn't have … interaction between the row and column factors. For example, I want to test in the following 3 x 2 table, if the mean of each row is the same. 5 | 4 7 | 6 4 | 7 Note that I used lm for one-way ANOVA
asked Dec 3 '14 by Tim
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Wikipedia says: Analysis of variance (ANOVA) is a collection of statistical models used to analyze the differences between group means and their associated procedures (such as "variation" among … and between groups). In ANOVA setting, the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In one way or two way ANOVA
asked Jul 2 '13 by Tim
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From Kutner's Applied Linear Statistical Models The Bonferroni multiple comparison procedure does not lend itself to data snooping, unless one can specify in advance the family of inferences …
asked Jul 8 '13 by Tim
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From Kutner's Applied Linear Statistical Models In the next three sections, we shall discuss three multiple comparison procedures for analysis of variance models that permit the family confide …
asked Jul 8 '13 by Tim
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wonder how to explain that? In one-way ANOVA, the test statistic is defined as the ratio between between-class variance and within-class variance. I was wondering if it is also a Wald test? But the … test statistic in one-way ANOVA has a F distribution, and the test statistic in a Wald test asymptotically has a chi-square distribution. I wonder how to explain that? Thanks and regards! …
asked May 30 '13 by Tim
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I wonder what differences are between t-test and ANOVA in linear regression? Is a t-test to test whether any one of the slopes and intercept has mean zero, while ANOVA to test whether all slopes … have mean zero? Is this the only difference between them? In simple linear regression i.e. where there is only one predictor variable, there is only one slope to estimate. So are t-test and ANOVA
asked Oct 13 '11 by Tim
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ANOVA F-value between label/feature for classification tasks. Can the F-test only be used for features with numerical and continuous domain, or is it also valid for selecting discrete or categorical features? I get that idea, as the F-statistic is based on the mean and variance of a feature. …
asked May 14 '15 by Tim
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any hypothesis on a data set that was not used to generate the hypothesis. For Post Hoc analysis of ANOVA, Henry Scheffé's simultaneous test of all contrasts in multiple comparison problems is …
asked Jul 11 '13 by Tim
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In a two-way ANOVA, from Kutner's Applied Linear Statistical Models: What differences are between testing if two factors interact and testing if their interaction is important? I know that …
asked Jul 6 '13 by Tim
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From Wikipedia Post-hoc testing of ANOVAs Multiple comparison procedures are commonly used in an analysis of variance after obtaining a significant omnibus test result, like the ANOVA F … -test. The significant ANOVA result suggests rejecting the global null hypothesis H0 that the means are the same across the groups being compared. Multiple comparison procedures are then used to …
asked May 25 '13 by Tim
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From Wikipedia: a mixed-design analysis of variance model (also known as a split-plot ANOVA) is used to test for differences between two or more independent groups whilst subjecting participants … to repeated measures. Thus, in a mixed-design ANOVA model, one factor (a fixed effects factor) is a between-subjects variable and the other (a random effects factor) is a within-subjects variable …
asked Jul 5 '13 by Tim