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  • December 8, 2020Miscellaneous

    Under what conditions would you use the paired t-test?

    Under what conditions would you use the paired t-test? A paired t-test is used when we are interested in the difference between two variables for…

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  • December 8, 2020Miscellaneous

    What is ith order statistics?

    What is ith order statistics? “n” is statistical notation for the number of items in a sample. In other words, once you’ve placed your sample…

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  • December 8, 2020Helpful tips

    How do you find the absolute mean difference?

    How do you find the absolute mean difference? The mean absolute difference (univariate) is a measure of statistical dispersion equal to the average absolute difference…

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  • December 8, 2020Miscellaneous

    Do you need to normalize variables for linear regression?

    Do you need to normalize variables for linear regression? In regression analysis, you need to standardize the independent variables when your model contains polynomial terms…

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  • December 8, 2020Blog

    Why is nonlinear transformations of variables used in regression analysis?

    Why is nonlinear transformations of variables used in regression analysis? A nonlinear transformation is used to increase the relationship between variables. The most effective transformation…

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  • December 8, 2020Blog

    What are the conditions required for parametric test?

    What are the conditions required for parametric test? As a general rule of thumb, when the dependent variable’s level of measurement is nominal (categorical) or…

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  • December 8, 2020Popular

    How is linkage disequilibrium related to SNP?

    How is linkage disequilibrium related to SNP? Linkage disequilibrium (LD) is the correlation between nearby variants such that the alleles at neighboring polymorphisms (observed on…

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  • December 8, 2020Blog

    What is propensity score matching?

    What is propensity score matching? Propensity score matching (PSM) is a quasi-experimental method in which the researcher uses statistical techniques to construct an artificial control…

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  • December 8, 2020Guidelines

    Which is the best definition of maximum likelihood estimation?

    Which is the best definition of maximum likelihood estimation? Maximum likelihood estimates. Definition. Let X 1, X 2, ⋯, X n be a random sample…

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  • December 8, 2020Popular

    How is inverse probability weighting used in science?

    How is inverse probability weighting used in science? Inverse probability weighting relies on building a logistic regression model to estimate the probability of the exposure…

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