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  • November 12, 2020Popular

    What is varimax rotation in PCA?

    What is varimax rotation in PCA? Change of coordinates used in principal component analysis (PCA) is known as Varimax rotation. It maximizes the sum of…

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  • November 12, 2020Helpful tips

    How should we handle missing responses to survey questions?

    How should we handle missing responses to survey questions? I am not sure. Kindly help. Join ResearchGate to ask questions, get input, and advance your…

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  • November 12, 2020Blog

    How do you remove skewness from data?

    How do you remove skewness from data? There’s no way to remove skewness from the raw data set without chopping off the tail (i.e. deleting…

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  • November 12, 2020Blog

    Are principal components unit length?

    Are principal components unit length? Principal component analysis can be used to summarize data and detect linear relationships. Given a data set with ny Y…

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  • November 12, 2020Contributing

    Is there an overdispersion problem in a quasi-binomial GLM?

    Is there an overdispersion problem in a quasi-binomial GLM? Overdispersion problem in a quasi-binomial GLM (for proportional data)? Below is the summary of a GLM…

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  • November 12, 2020Blog

    How do you make a confidence interval question?

    How do you make a confidence interval question? How to Construct a Confidence Interval Identify a sample statistic. Choose the statistic (e.g, sample mean, sample…

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  • November 12, 2020Blog

    How many participants should be in a control group?

    How many participants should be in a control group? Control group size: 10%, 15%, 20%, 25%, and so on, up to 50% of the sample.…

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  • November 12, 2020Helpful tips

    How does Stata deal with missing values?

    How does Stata deal with missing values? 3. Summary of how missing values are handled in Stata procedures. summarize For each variable, the number of…

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  • November 12, 2020Contributing

    What test has multiple independent variables?

    What test has multiple independent variables? By far the most common approach to including multiple independent variables in an experiment is the factorial design. In…

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  • November 12, 2020Popular

    What are the properties of joint probability density?

    What are the properties of joint probability density? Joint Probability Density Function A joint probability density function for the continuous random variable X and Y,…

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