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  • November 17, 2020Guidelines

    What statistic is used to check the significance of the Kruskal-Wallis test?

    What statistic is used to check the significance of the Kruskal-Wallis test? The test determines whether the medians of two or more groups are different.…

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  • November 17, 2020Popular

    How is the likelihood ratio test statistic calculated?

    How is the likelihood ratio test statistic calculated? Now that we have both log likelihoods, calculating the test statistic is simple: So our likelihood ratio…

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  • November 17, 2020Helpful tips

    What is an unpaired sample t-test?

    What is an unpaired sample t-test? An unpaired t-test (also known as an independent t-test) is a statistical procedure that compares the averages/means of two…

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  • November 17, 2020Popular

    How does fertility rate affect population growth?

    How does fertility rate affect population growth? As fertility declines, the proportion of children in the population falls and the proportion of the population of…

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  • November 17, 2020Guidelines

    What is Dirichlet process mixture model?

    What is Dirichlet process mixture model? The Dirichlet process is a stochastic proces used in Bayesian nonparametric models of data, particularly in Dirichlet process mixture…

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  • November 17, 2020Popular

    Why is there no multicollinearity in linear regression?

    Why is there no multicollinearity in linear regression? Multicollinearity reduces the precision of the estimated coefficients, which weakens the statistical power of your regression model.…

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  • November 17, 2020Popular

    Why the chi-square Cannot be less than or equal to 1?

    Why the chi-square Cannot be less than or equal to 1? The Chi-square random variable by definition is a positive valued variable. It can be…

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  • November 17, 2020Miscellaneous

    Is ETA squared biased?

    Is ETA squared biased? The drawback for Eta Squared is that it is a biased measure of population variance explained (although it is accurate for…

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  • November 17, 2020Guidelines

    When did Bayesian inference via MCMC become popular?

    When did Bayesian inference via MCMC become popular? Baysian inference via MCMC was the bandwagon of the nineties in statistics. It usage exploded after 1990…

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  • November 17, 2020Helpful tips

    Is mutation testing widely used?

    Is mutation testing widely used? Mutation Testing has been increasingly and widely studied since it was first proposed in the 1970s. There has been much…

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