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  • January 19, 2019Helpful tips

    What type of data can chi squared be used to test?

    What type of data can chi squared be used to test? The Chi-square test analyzes categorical data. It means that the data has been counted…

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  • January 19, 2019Contributing

    How do I calculate the effect size?

    How do I calculate the effect size? If the two groups have the same n, then the effect size is simply calculated by subtracting the…

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  • January 19, 2019Guidelines

    Can categorical variables be covariates?

    Can categorical variables be covariates? It does not matter if the variable is something you manipulated or something you are controlling for. If it’s categorical,…

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  • January 19, 2019Miscellaneous

    How is the independent component of an ICA calculated?

    How is the independent component of an ICA calculated? ICA finds the independent components (also called factors, latent variables or sources) by maximizing the statistical…

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  • January 19, 2019Blog

    When compared with lasso regression the ridge regression works well in cases?

    When compared with lasso regression the ridge regression works well in cases? Lasso tends to do well if there are a small number of significant…

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  • January 19, 2019Contributing

    What does R2 mean in correlation?

    What does R2 mean in correlation? The coefficient of determination, R2, is similar to the correlation coefficient, R. The correlation coefficient formula will tell you…

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  • January 19, 2019Helpful tips

    What do you mean by residuals in statistics?

    What do you mean by residuals in statistics? What Are Residuals in Statistics? A residual is the difference between an observed value and a predicted…

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  • January 19, 2019Blog

    What is the problem of exploding and vanishing gradients in neural networks?

    What is the problem of exploding and vanishing gradients in neural networks? What Is the Problem with Exploding Gradients? In deep multilayer Perceptron networks, exploding…

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  • January 19, 2019Miscellaneous

    What is an average partial effect?

    What is an average partial effect? Average Partial Effects (APE) are the contribution of each variable on the outcome scale, conditional on the other variables…

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  • January 19, 2019Popular

    What is the level of significance p value established by Fisher 1925 that psychologists use to test hypotheses using inferential statistics?

    What is the level of significance p value established by Fisher 1925 that psychologists use to test hypotheses using inferential statistics? In his influential book…

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