# 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