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  • March 3, 2019Guidelines

    Is a null hypothesis supposed to be wrong?

    Is a null hypothesis supposed to be wrong? Not including the null hypothesis in your research is considered very bad practice by the scientific community.…

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  • March 3, 2019Contributing

    Is effect size used in meta-analysis?

    Is effect size used in meta-analysis? Effect size is a statistical concept that measures the strength of the relationship between two variables on a numeric…

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  • March 3, 2019Popular

    What is a nearest neighbor model?

    What is a nearest neighbor model? Summary. The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve…

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  • March 3, 2019Contributing

    Why are reliability and validity necessary for survey development?

    Why are reliability and validity necessary for survey development? Validity and reliability are two key factors to consider when developing and testing any survey instrument…

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  • March 3, 2019Popular

    How do you subtract probabilities?

    How do you subtract probabilities? The rule of subtraction follows directly from these properties. Rule of Subtraction. The probability that event A will occur is…

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  • March 3, 2019Guidelines

    How do you measure complexity of an algorithm?

    How do you measure complexity of an algorithm? 52.233 Complexity. Complexity of an algorithm is a measure of the amount of time and/or space required…

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  • March 3, 2019Guidelines

    What is the difference between partial and complete mediation?

    What is the difference between partial and complete mediation? Complete mediation is the case in which variable X no longer affects Y after M has…

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  • March 3, 2019Miscellaneous

    How do you optimize a product price?

    How do you optimize a product price? How to optimize your pricing Get to know your customers. Optimizing your pricing is all about the data—both…

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  • March 3, 2019Popular

    How can we avoid Collinearity?

    How can we avoid Collinearity? The potential solutions include the following: Remove some of the highly correlated independent variables. Linearly combine the independent variables, such…

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  • March 3, 2019Guidelines

    How do you know if a variable is jointly significant?

    How do you know if a variable is jointly significant? The manual way to calculate joint significance is to run an “unrestricted regression” – one…

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