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. *

© 2021 TechTarget, Inc. Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions

## You need to be a member of Data Science Central to add comments!

Join Data Science Central