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  • November 4, 2020Popular

    Are outcomes and events the same in probability?

    Are outcomes and events the same in probability? Yes, an outcome is the result of a random experiment, like a rolling a die has six…

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  • November 4, 2020Popular

    What is conditional and unconditional variance?

    What is conditional and unconditional variance? the unconditional variance is just the standard measure of the variance. var(x) =E(x -E(x))2. the conditional variance is the…

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  • November 4, 2020Popular

    How to fit a zero truncated negative binomial model?

    How to fit a zero truncated negative binomial model? To fit the zero-truncated negative binomial model, we use the vglm function in the VGAM package.…

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  • November 4, 2020Guidelines

    Why should I normalize also the output data?

    Why should I normalize also the output data? I’m new to data science and Neural Networks in general. Looking around many people say it is…

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  • November 4, 2020Contributing

    How do you test for significance results?

    How do you test for significance results? Steps in Testing for Statistical Significance State the Research Hypothesis. State the Null Hypothesis. Select a probability of…

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  • November 4, 2020Miscellaneous

    When do you use the proportional hazards model?

    When do you use the proportional hazards model? The proportional hazards model is often used in survival analysis (medical testing) studies. It is not used…

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  • November 4, 2020Popular

    What is a meaningful conclusion?

    What is a meaningful conclusion? In a conclusion paragraph, you summarize what you’ve written about in your paper. When you’re writing a good conclusion paragraph,…

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  • November 4, 2020Miscellaneous

    How can you use a scatter plot to make conclusions about data?

    How can you use a scatter plot to make conclusions about data? How Do You Use a Scatterplot to Draw Conclusions and Make Predictions? A…

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  • November 4, 2020Helpful tips

    Can K-means clustering be used for classification?

    Can K-means clustering be used for classification? KMeans is a clustering algorithm which divides observations into k clusters. Since we can dictate the amount of…

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  • November 4, 2020Miscellaneous

    What role does the central limit theorem play in?

    What role does the central limit theorem play in? The central limit theorem tells us that no matter what the distribution of the population is,…

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