.

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.

**29 Statistical Concepts Explained in Simple English**

- Negative Binomial Experiment / Distribution: Definition, Examples
- Nested Model, ANOVA and Factors: Simple Definitions and Examples
- Nominal Ordinal Interval Ratio: Examples
- Nominal Variable: Definition and Examples
- Differential & Non-Differential Misclassification
- Nonlinear Regression: Simple Definition & Examples
- Non-Probability Sampling: Definition, Types
- Non Response Bias: Definition, Examples
- Normalized Data / Normalization
- Area Under a Normal Curve: Find it in Easy Steps with Video
- Non Normal Distribution
- Normal Distributions: Definition, Word Problems
- Normal Probability Plot: Definition, Examples
- Normal Probability Practice Problems and Answers
- Nuisance Variable & Nuisance Parameter: Definition, Examples
- Null Hypothesis Definition and Examples, How to State
- Support or Reject Null Hypothesis in Easy Steps
- Number Needed to Harm NNH: Definition
- Observation in Statistics: Simple Definition & Examples
- Observer Bias / Research or Experimenter Bias: Definition, Examples...
- Odds Ratio Calculation and Interpretation
- Ogive Graph / Cumulative Frequency Polygon in Easy Steps
- Omega Squared: Definition
- One Sample T Test: How to Run It, Step by Step
- One Sample Z Test: How to Run One
- Open Ended Distribution: Definition and Examples
- Order Effects: Definition, Examples and Solutions
- Order of Integration (Time Series): Simple Definition / Overview
- Order Statistics: Simple Definition, Examples
- Ordinal Numbers, Variables and Data: Definition and Examples
- Pairwise Independent, Mutually Independent: Definition, Example
- Parallel Design / Parallel Group Study
- Parallel Forms Reliability (Equivalent Forms)
- What is a Parameter in Statistics?
- Non Parametric Data and Tests (Distribution Free Tests)

Previous editions, in alphabetical order, can be accessed here:

Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6* |* Part 7* |* Part 8 | Part 9 | Part 10 | Part 11

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

- Toucan Toco unveils native integration for Snowflake
- Top trends in big data for 2021 and the future
- Common application layer protocols in IoT explained
- HYCU Protégé integrates Kubernetes data protection
- 10 Jenkins alternatives for developers
- Flow efficiency is one of the trickiest DevOps metrics
- Continuous delivery vs. continuous deployment: Which to choose?
- Camel case vs. snake case: What's the difference?
- Advice on intent-based networking and Python automation
- Risk & Repeat: Will the Ransomware Task Force make an impact?

Posted 3 May 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