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Home Data Science

33 Statistical Concepts Explained in Simple English – Part 10

March 5, 2019
in Data Science
33 Statistical Concepts Explained in Simple English – Part 10
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Credit: Data Science Central

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC.

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33 Statistical Concepts Explained in Simple English

  1. Kruskal Wallis H Test: Definition, Examples & Assumptions
  2. Kuder-Richardson 20 (KR-20) & 21 (KR-21)
  3. Lasso Regression: Simple Definition
  4. Law of Large Numbers / Law of Averages
  5. Least Squares Regression Line: Ordinary and Partial
  6. Levels in Statistics
  7. Levene Test for Equality of Variances
  8. Likelihood Function: Overview / Simple Definition
  9. Likelihood Ratio (Medicine): Basic Definition, Interpretation
  10. Likelihood-Ratio Tests (Probability and Mathematical Statistics)
  11. Likert Scale Definition and Examples
  12. Limiting Distribution (Asymptotic Distribution): Definition and Exa…
  13. Linear Relationship: Definition, Examples
  14. Vector Transformation & Linear Transformation
  15. Line Graph – Definition and Easy Steps to Make One
  16. Line of Best Fit: What it is, How to Find it
  17. Lognormal Distribution: Definition, Examples
  18. Log Odds: Definiton and Worked Statistics Problems
  19. Lowess Smoothing in Statistics: What is it?
  20. Mahalanobis Distance: Simple Definition, Examples
  21. Main Effect: Definition and Examples
  22. Manipulated Variable: Definition
  23. Mann Kendall Trend Test: Definition, Running the Test
  24. Mann Whitney U Test
  25. Marginal Distribution
  26. Marginal Effects: Definition
  27. Matched Samples: Definition, Examples
  28. Matrices and Matrix Algebra
  29. Maximum Variation Sampling
  30. McNemar Test Definition, Examples, Calculation
  31. Mean Difference / Difference in Means (MD)
  32. Mean Error: Definition
  33. Mean Square Between: Definition & Examples

Previous editions, in alphabetical order, can be accessed here: Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6 | Part 7 | Part 8 | Part 9.

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Credit: Data Science Central By: Vincent Granville

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