33 Statistical Concepts Explained in Simple English – Part 10

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.

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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