# 31 Statistical Concepts Explained in Simple English – Part 8

31 Statistical Concepts Explained in Simple English – Part 8 Source – datasciencecentral.com

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

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