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  • February 7, 2019Popular

    What is complementary slackness KKT?

    What is complementary slackness KKT? KKT Conditions for Linear Program with Inequality Constraints. λ and v are called the Lagrangian multipliers (or dual variables) corresponding…

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  • February 7, 2019Blog

    How do you work out the area of a circle inside a square?

    How do you work out the area of a circle inside a square? When a circle is inscribed in a square, the length of each…

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  • February 7, 2019Blog

    What does P value of 2e 16 mean?

    What does P value of 2e 16 mean? < 2.2e-16 as the p value would indicate a significant result, meaning that the actual p value…

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  • February 7, 2019Guidelines

    How to interpret the beta coefficients of the categorical predictors?

    How to interpret the beta coefficients of the categorical predictors? I have coded the categorical predictor (with three levels) into three dummy variables, and entered…

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  • February 7, 2019Contributing

    Do descriptive statistics relate to parameters?

    Do descriptive statistics relate to parameters? Descriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called…

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  • February 7, 2019Guidelines

    Which test is best to test the hypothesis that multiple variances 2 or more are equal?

    Which test is best to test the hypothesis that multiple variances 2 or more are equal? To test if the means are equal for more…

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  • February 7, 2019Guidelines

    How do you interpret multiple ANOVA?

    How do you interpret multiple ANOVA? Complete the following steps to interpret a two-way ANOVA…. Step 1: Determine whether the main effects and interaction effect…

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  • February 7, 2019Popular

    What assumptions are necessary before a MANOVA can be conducted?

    What assumptions are necessary before a MANOVA can be conducted? In order to use MANOVA the following assumptions must be met: Observations are randomly and…

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  • February 7, 2019Contributing

    Which is the independence of a joint distribution?

    Which is the independence of a joint distribution? Joint Distributions (for two or more r:v:’s) Marginal Distributions (computed from a joint distribution) Conditional Distributions (e.g.…

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  • February 7, 2019Miscellaneous

    Is LU decomposition and Cholesky method same?

    Is LU decomposition and Cholesky method same? The Cholesky decomposition or Cholesky factorization is a decomposition of a Hermitian, positive-definite matrix into the product of…

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