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  • October 20, 2020Popular

    How do you compare means across groups?

    How do you compare means across groups? In order to compare the means of more than two samples coming from different treatment groups that are…

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  • October 20, 2020Miscellaneous

    What is exogenous variable in ARIMA?

    What is exogenous variable in ARIMA? An exogenous variable is one whose value is determined outside the model and is imposed on the model. Many…

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  • October 20, 2020Contributing

    Why is scaling important for PCA?

    Why is scaling important for PCA? Scaling (what I would call centering and scaling) is very important for PCA because of the way that the…

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  • October 20, 2020Blog

    Can a negative correlation have a positive slope?

    Can a negative correlation have a positive slope? A positive value indicates a positive slope, while a negative value indicates a negative slope. In statistics,…

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  • October 20, 2020Blog

    What is the relationship between confidence interval and confidence level?

    What is the relationship between confidence interval and confidence level? A confidence interval is a range of values that is likely to contain an unknown…

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  • October 20, 2020Contributing

    What is M in exponential distribution?

    What is M in exponential distribution? The maximum value on the y-axis is always m, one divided by the mean. Try It 5.3. The amount…

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  • October 20, 2020Miscellaneous

    Can I use paired t-test for Likert scale?

    Can I use paired t-test for Likert scale? The t-test makes no sense logically, because the tested hypothesis is about a mean difference, and “means”…

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  • October 20, 2020Helpful tips

    How are different conditions used in repeated measures?

    How are different conditions used in repeated measures? Where measurements are made under different conditions, the conditions are the levels (or related groups) of the…

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  • October 20, 2020Guidelines

    Why is it better to use log in regression?

    Why is it better to use log in regression? Overfitting occurs when there are too many dependent variables in play that it does not have…

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  • October 20, 2020Popular

    Why does SVM use hinge loss?

    Why does SVM use hinge loss? SVM uses a hinge loss, which conceptually puts the emphasis on the boundary points. Anything farther than the closest…

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