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.

**31 Statistical Concepts Explained in Simple English**

- Hotelling's T-Squared: Simple Definition
- Normal Distribution Probability in Excel: All Versions up to 2016
- Hypergeometric Distribution: Examples and Formula
- Hypothesis Testing
- Hypothesis Test in Excel for the Population Mean (Large Sample)
- Idempotent Matrix: Definition, Examples
- IID Statistics: Independent and Identically Distributed Definition ...
- Independent Random Variables: Definition, Examples
- Independent Samples T Test (Unpaired Samples): Definition, Running
- Independent Variable (Treatment Variable) Definition and Uses
- Index Number: Simple Definition
- Inferential Statistics: Definition, Uses
- Information Bias (Observation Bias): Definition, Examples
- Instrumental Variable: Definition & Overview
- Interaction Effect, Statistical Interactions & Interacting Vari...
- Internal Consistency Reliability: Definition, Examples
- Internal Validity: Definition and Examples
- Inter-rater Reliability IRR: Definition, Calculation
- Interquartile Range (IQR): What it is and How to Find it
- Interval Estimate: Definition, Examples
- Interval Scale & Interval Variable: Simple Definition & Exa...
- Intervening variable: Simple Definition & Examples
- Intraclass Correlation
- Inverse Gamma Distribution: Definition, Mean, Variance, PDF
- Inverse Normal Distribution
- Jaccard Index / Similarity Coefficient
- Jarque-Bera Test
- Joint Probability and Joint Distributions: Definition, Examples
- Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy
- Kendall's Tau (Kendall Rank Correlation Coefficient)
- Kolmogorov-Smirnov Goodness of Fit Test
- KPSS Test: Definition and Interpretation
- Krippendorff's Alpha Reliability Estimate: Simple Definition

Previous editions can be accessed here: Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6* |* Part 7* |* Part 8.

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

**DSC Resources**

- Juniper adds Mist AIOps to its 128 Technology-based SD-WAN
- 10 microservices patterns all architects should know
- IBM extends Call for Code for Racial Justice program
- citizen development
- How to manage third-party risk in the supply chain
- Gartner predicts data storytelling will dominate BI by 2025
- AWS Data Exchange and the third-party cloud data marketplace
- Overcome common IoT edge computing architecture issues

Posted 1 March 2021

© 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