31 Statistical Concepts Explained in Simple English – Part 8

31 Statistical Concepts Explained in Simple English – Part 8

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.

 31 Statistical Concepts Explained in Simple English

Fundamental Counting Principle (The Multiplication Counting Rule): How to use it
Funnel Plot: Definition, Examples
Gamma Coefficient (Goodman and Kruskal’s Gamma) & Yule’s Q
Gamma Distribution: Definition, PDF, Finding in Excel
Gamma Function: Definition, Properties
Gauss Markov Theorem & Assumptions
General Linear Model (GLM): Simple Definition / Overview
Geometric Distribution: Definition & Example
Geometric Mean: Definition, Examples, Formula, Uses
Goodness of Fit Test: What is it?
Granger Causality: Definition, Running the Test
Greatest Possible Error: Easy Definition, Step by Step Examples
Grounded Theory: Simple Definition and Examples
Grouped Data / Ungrouped Data: Definition, Examples
Grubbs’ Test for Outliers (Maximum Normed Residual Test)
Guttman Scale (Cumulative Scale): Definition & Examples
Hamiltonian Cycle: Simple Definition and Example
Haphazard Sampling: Definition, Examples, Advantages/Disadvantages
Harmonic Mean: Definition, Formula, Examples
Hausman Test for Endogeneity (Hausman Specification Test)
Hazard Ratio: Definition, Examples & Log of the Hazard
Heavy Tailed Distribution & Light Tailed Distribution: Definition & Examples
Hedges’ g: Definition, Formula
Heterogeneity and Heterogeneous Data in Statistics
Heteroscedasticity: Simple Definition and Examples
Hidden Markov Model: Simple Definition & Overview
Hierarchical Clustering / Dendrogram: Simple Definition, Examples
Holm-Bonferroni Method: Step by Step
Homogeneity, Homogeneous Data & Homogeneous Sampling
Homoscedasticity / Homogeneity of Variance/ Assumption of Equal Variance
Hosmer-Lemeshow Test: Definition

Previous editions can be accessed here: Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6 | Part 7. Also, check out our upcoming course Learn Machine Learning Coding Basics in a Weekend.
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Link: 31 Statistical Concepts Explained in Simple English – Part 8