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.

Below is the last article in the series Statistical Concepts Explained in Simple English. The full series is accessible here. 

Source for picture: here

28 Statistical Concepts Explained in Simple English - Part 18

• Unidimensionality: Definition, Examples
• Uniform Distribution / Rectangular Distribution: What is it?
• Unimodal Distribution in Statistics
• Unit Root: Simple Definition, Unit Root Tests
• Univariate Analysis: Definition, Examples
• Upper and Lower Fences
• Upper Hinge and Lower Hinge
• Validity Coefficient: Definition and How to Find it
• Variability in Statistics: Definition, Examples
• Variance: Simple Definition, Step by Step Examples
• Variance Inflation Factor
• Voluntary Response Sample in Statistics: Definition
• Wald Test: Definition, Examples, Running the Test
• Weibull Distribution and Weibull Analysis
• Weighted Least Squares: Simple Definition, Advantages & Disadva...
• Weighted Mean: Formula: How to Find Weighted Mean
• Weighting Factor, Statistical Weight and Weight Functions: Definiti...
• Welch's ANOVA: Definition, Assumptions
• Welch's Test for Unequal Variances
• Yates Correction: What is it used for in Statistics?
• White Test: Definition, Examples
• Wilcoxon Signed Rank Test: Definition, How to Run
• Wilks' Lambda: Simple Definition
• Winsorize: Definition, Examples in Easy Steps
• Within-Group Variation: Definition and Examples
• Y Hat: Definition
• Z Alpha/2 (za/2): What is it, How to Find it
• Zero-Order Correlation: Definition, Examples
• Z Test: Definition & Two Proportion Z-Test
• Z-Score: Definition, Formula and Calculation
• Z-table (Right of Curve or Left)

To make sure you keep getting these emails, please add  [email protected] to your address book or whitelist us.