# 23 Statistical Concepts Explained in Simple English – Part 7

23 Statistical Concepts Explained in Simple English – Part 7

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.

23 Statistical Concepts Explained in Simple English

Face Validity: Definition and Examples

Factor analysis: Easy Definition

False Discovery Rate: Simple Definition, Adjusting for FDR

False Positive and False Negative: Definition and Examples

Familywise Error Rate (Alpha Inflation): Definition

Fat Tail Distribution: Definition, Examples

5 Number Summary in Excel: Easy Steps with Video

Outliers: Finding Them in Data, Formula, Examples. Easy Steps and Video

How to Find Pearson’s Coefficient of Skewness in Excel

Pooled Sample Standard Error: How to Calculate it

Regression Slope Intercept: How to Find it in Easy Steps

Standard Error Excel 2013 in Easy Steps

Standard Error of Regression Slope

How to Find t Critical Value on TI 83

Variance in Minitab: How to Find it

Finite Population Correction Factor FPC: Formula, Examples

Fisher Z-Transformation

Fleiss’ Kappa

Fmax / Hartley’s Test: Definition, Step by Step Example, Table

Fractile Definition Usage and How to Calculate

Frequency Distribution Table in Excel — Easy Steps!

Frequency Polygon: Definition and How to Make One

Friedman’s Test / Two Way Analysis of Variance by Ranks

Previous editions can be accessed here: Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6.

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Link: 23 Statistical Concepts Explained in Simple English – Part 7