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  • November 25, 2020Guidelines

    Why are parametric tests more powerful than nonparametric?

    Why are parametric tests more powerful than nonparametric? The reason that parametric tests are sometimes more powerful than randomisation and tests based on ranks is…

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  • November 25, 2020Contributing

    What are the basic models of artificial neural network?

    What are the basic models of artificial neural network? There exist five basic types of neuron connection architecture : Single-layer feed forward network. Multilayer feed…

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  • November 25, 2020Helpful tips

    What are imputed values?

    What are imputed values? Imputed value, also known as estimated imputation, is an assumed value given to an item when the actual value is not…

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  • November 25, 2020Guidelines

    How a mean is represented in Boxplots?

    How a mean is represented in Boxplots? The Basics of the Boxplot On the graph, the vertical line inside the yellow box represents the median…

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  • November 25, 2020Popular

    Does a meta-analysis have a sample size?

    Does a meta-analysis have a sample size? Sample size requirements for direct meta-analysis By now, it has been well established that the required sample size…

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  • November 25, 2020Helpful tips

    Do outliers affect normal distribution?

    Do outliers affect normal distribution? No. It only means that the normal probability distribution seems to be a (hopefully) sufficiently good approximation to the frequency…

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  • November 25, 2020Helpful tips

    What does P .05 mean in statistics?

    What does P .05 mean in statistics? P > 0.05 is the probability that the null hypothesis is true. A statistically significant test result (P…

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  • November 25, 2020Miscellaneous

    Why softmax is used in last layer?

    Why softmax is used in last layer? The softmax function is a function that turns a vector of K real values into a vector of…

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  • November 25, 2020Blog

    Does sample size affect goodness-of-fit?

    Does sample size affect goodness-of-fit? All measures of goodness-of-fit suffer the same serious drawback. When the sample size is small, only the most aberrant behaviors…

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  • November 25, 2020Popular

    How do I get RMSE in R?

    How do I get RMSE in R? RMSE is computed as RMSE = mean((observeds – predicteds)^2) %>% sqrt() . The lower the RMSE, the better…

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