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.

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**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)

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