# 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.