# Significance scripts download

[## significance script overview « 1 - 30 » of 69 scripts

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... The size of sample ... are taken as parameters and the **significance** is returned. Demands ...

... Supported file formats ... xls, html, pdf, rtf, chm, zip, rar. Average search time ... internet-style, with quotation of relevant text abstracts and query highlighting, sorted by relevance, location ... in the document, word **significance,** and document modification date. Morphological support ...

... Commerce Tracker offers ... standard web statistics software on the market today. Commerce Tracker is built specifically for e-commerce web sites. ... who visits your site and which of those visitors convert into actual leads or transactions. Commerce Tracker ... getting the best value in your advertising purchases. Commerce Tracker also has great benefits for web sites ...

... datain, alpha) Inputs ... If alpha is set to zero or not provided, **significance** ... will not be computed. To test for **significance,** the Statistics Toolbox is required. ...

... The Mann-Kendall Tau-b non-parametric function computes ... spaced data. While you do not need the Statistics Toolbox to compute Taub, you do need it ... to test for **significance.** This function will compute Tau-b ... and the various supporting statistics), and also ... Sens Method.The function is written elegantly, without any loops.Usage[taub tau ...

... interval calculates the confidence interval of the t-distrubution, with one ... given confidence level, number of degrees of freedom, along ... specified dimension of the input array.t_function calculates the probability density function for the t-ditribution.t ... distrib calculates the t-distribution and the cumulative probability function for the t-distribution and makes ...

... This function calculate the Student ... Test for unpaired or paired samples. The function output is ... degrees of freedom, Confidence interval of difference for paired test, Critical level at **significance** level, p-value. The ... Statistical Toolbox is required because Testt calls TINV and TCDF functions. Demands ...

... Computes the interrelationships between two sets of variables made on the same objects without data. The ... canonical correlation is the maximum correlation between linear functions of the two vector variables. Linearity is important ... because the analysis is performed on the correlation matrix which reflect linear relationships.After this there may ...

... Computes the interrelationships between two sets of variables made on the same objects without data. The ... canonical correlation is the maximum correlation between linear functions of the two vector variables. Linearity is important ... because the analysis is performed on the correlation matrix which reflect linear relationships.After this there may ...

... Single sample Geary goodness-of-fit hypothesis test.H=GTEST(X,ALPHA) performs the Geary test to determine whether the ... null hypothesis of composite normality PDF is ... reasonable assumption regarding the population distribution of ... with the desired **significance** level ALPHA.H indicates the result of the hypothesis test according ...

... Discriminant Analysis is ... separating distinct sets of observations to previously defined groups; rather exploratory in nature, it is ... procedure. Here, we develop this technique considering normal populations with equal covariance matrices.So, prior to the Discriminant ...

... Calculates point biserial correlation and tests for **significance** with either ttest or ranksum test. Demands ... MATLAB Release: R14SP1 ...

... One-way repeated measures ANOVA is used to analyze the relationship between the ... main advantage is controlling the disturbance variables or individual differences that could influence the dependent variable.In contrast ... to the independent groups ANOVA (between-subjects), the repeated measures procedure is generally more powerful ...

... EvoSynth stands for Evolutionary Computation Synthesizer. Most important functions of EvoSynth ... General features:• Classes for individuals, populations, algorithm profiles, genomes ... Many predefined fitness functionsBenchmarking features:• Diversity calculations ...

... two-way multivariate analysis of variance for equal or unequal sample ... the mean differences in several variables among several samples with two factors.It consider the matrices of sum-of-squares ... for main effects and their interaction to compute, respectively, their Wilks ...

... This test is based on the Wilks ... single outlier from ... normal multivariate sample and approaching the maximun squared Mahalanobis distance to ... distribution function by the Yang and Lee ... significative squared Mahalanobis distance means an outlier. To test the outlier, this function calls to the zipped ...

... of outliers using Pope test. It depends on **significance** level ... degree of freedom and the number of observations. Demands:• MATLAB Release ...

... A, ALPHA, REP)For input vector A, returns ... at the **significance** level alpha ... removed. Also, optional output argument idx returns the indices in ... of outlier values. Optional output argument outliers returns the outlying values in A.ALPHA is the **significance** ... level for determination of outliers. If not provided, alpha defaults to 0.05.REP is ...

... menu to choose an homoscedasticity test as Bartlett, Cochran, Brown-Forsythe, Levene, ... only needs the input data matrix and the **significance** level. To output the sample variances vector and ... whether or not the homoscedasticity was met. Demands ...

... test for symmetry. It is an extension of the McNemar test ... response categories for the two dependent samples.The null hypothesis is that the probabilities in the square table ... satisfy symmetry or that there is no sifnificant shift from ... to sample 2.When the null hypothesis of symmetry is true, then ...

... Single sample Pearson Chi Square goodness-of-fit statistical test to examine ... null hypothesis of Rayleigh Channel.H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Squaretest ... to determine whether the null hypothesis of ... with the desired **significance** level ALPHA.H indicates the result of the hypothesis ...

**Scripting significance programming** is written in computer programming languages that is typically interpreted and can be typed directly from a keyboard. Significance scripts are often distinguished from executable files. This significance scripts are safe to use virus free and spyware free.