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  • November 19, 2020Popular

    What does it mean to have a large effect size?

    What does it mean to have a large effect size? An effect size is a measure of how important a difference is: large effect sizes…

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  • November 19, 2020Popular

    Can regression Overfit?

    Can regression Overfit? In regression analysis, overfitting can produce misleading R-squared values, regression coefficients, and p-values. Overfit regression models have too many terms for the…

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  • November 19, 2020Contributing

    What are the ways to measure forecasting accuracy?

    What are the ways to measure forecasting accuracy? 5 methods for measuring sales forecast accuracy Exceptions Analysis. Before we get to exceptions analysis, let’s remember…

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  • November 19, 2020Guidelines

    Is Kolmogorov-Smirnov test a statistical test?

    Is Kolmogorov-Smirnov test a statistical test? In statistics, the Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous…

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  • November 19, 2020Miscellaneous

    What is information theory approach?

    What is information theory approach? Information theory is the scientific study of the quantification, storage, and communication of digital information. A key measure in information…

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  • November 19, 2020Blog

    When to use T interval for mean response?

    When to use T interval for mean response? In this section, we are concerned with the confidence interval, called a ” t-interval ,” for the…

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  • November 19, 2020Guidelines

    Can ordinal variables be treated as continuous?

    Can ordinal variables be treated as continuous? An often posed question by applied researchers is about the most favorable approach for factor analysis in the…

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  • November 19, 2020Guidelines

    What is the purpose of decomposition of time series?

    What is the purpose of decomposition of time series? Time series decomposition involves thinking of a series as a combination of level, trend, seasonality, and…

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  • November 19, 2020Popular

    When to use SVM classifier in support vector machine?

    When to use SVM classifier in support vector machine? From then, Svm classifier treated as one of the dominant classification algorithms. In further sections of…

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  • November 19, 2020Helpful tips

    How do you check for Homoscedasticity in R?

    How do you check for Homoscedasticity in R? One informal way of detecting heteroskedasticity is by creating a residual plot where you plot the least…

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