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  • February 25, 2019Popular

    What are the odds of failing a multiple-choice exam?

    What are the odds of failing a multiple-choice exam? A multiple choice exam has 175 questions. Each question has 4 possible answers. Only 1 answer…

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  • February 25, 2019Helpful tips

    Is bootstrapping done with replacement?

    Is bootstrapping done with replacement? The bootstrap drawing of a sample of n from as sample of n can only be done ‘with replace- ment’.…

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  • February 25, 2019Blog

    When to use the AUC-ROC curve in machine learning?

    When to use the AUC-ROC curve in machine learning? In Machine Learning, performance measurement is an essential task. So when it comes to a classification…

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  • February 25, 2019Miscellaneous

    What is the difference between statistical estimation and hypothesis testing?

    What is the difference between statistical estimation and hypothesis testing? Hypothesis testing is the other widely used form of inferential statistics. It is different from…

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  • February 25, 2019Guidelines

    What is permutation sampling?

    What is permutation sampling? An increasingly common statistical tool for constructing sampling distributions is the permutation test (or sometimes called a randomization test). Like bootstrapping,…

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  • February 25, 2019Blog

    How do you report open-ended survey responses?

    How do you report open-ended survey responses? Five tips to get you started Read through a couple of responses to get a sense of what…

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  • February 25, 2019Blog

    What does a partial correlation analysis allow you to do?

    What does a partial correlation analysis allow you to do? Partial correlation analysis is aimed at finding correlation between two variables after removing the effects…

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  • February 25, 2019Miscellaneous

    How do you imagine distance?

    How do you imagine distance? estimate how far it moved sideways (you could imagine the length of a car or something). Multiply that by 10…

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  • February 25, 2019Contributing

    What are the disadvantages of logistic regression?

    What are the disadvantages of logistic regression? the model will have little to Limited Outcome Variables. Independent Observations Required. Overfitting the Model. What is the…

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  • February 25, 2019Popular

    How is the trend cycle estimated in classical decomposition?

    How is the trend cycle estimated in classical decomposition? The trend-cycle estimate tends to over-smooth rapid rises and falls in the data (as seen in…

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