.

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.

*Minimum spanning tree (Source: Gael Varoquaux)*

**32 Statistical Concepts Explained in Simple English**

- Mean Squared Error: Definition and Example
- Median: Definition, How to Find it, Formula
- Measurement Error (Observational Error)
- Measurement Variable: Simple Definition & Examples
- Measures of Spread: Definitions, Examples
- Measures of Variation: Definition, Types and Examples
- Median Absolute Deviation
- Memoryless Property: Definition and Examples in Statistics
- Method of Moments Definition and Example
- Metropolis-Hastings Algorithm / Metropolis Algorithm
- Middle Fifty in Statistics: What is it?
- Midpoint / Class Mark (in Statistics)
- Midrange: Definition and How to Find the Midrange
- Minimum Spanning Tree: Definition, Examples, Prim's Algorithm
- Misleading Graphs: Real Life Examples
- Misleading Statistics Examples in Advertising and The News
- Mixture Distribution: Definition and Examples
- How to Find the Mode or Modal Value
- Model Misspecification
- Moderating Variable (or Moderator)
- Moment in Statistics: Defintion, Examples
- Moment Generating Function MGF: Definition, Examples
- Monotonic Relationship: Definition
- Monty Hall Problem: Solution Explained Simply
- Moran's I: Definition, Examples
- Moving Average: What it is and How to Calculate it
- Multicollinearity: Definition, Causes, Examples
- Multidimensional Scaling: Definition, Overview, Examples
- Multimodal Distribution Definition and Examples
- Multinomial Distribution: Definition, Examples
- Multiplication Rule Probability: Definition, Examples
- Multistage Sampling: Definition, Real Life Examples
- Multivariate Analysis
- Mutually Exclusive Event: Definition, Examples, Unions
- Mutually Inclusive Events: Definition, Examples
- Nash Equilibrium: Simple Definition and Examples

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.

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

**DSC Resources**

- Free Book and Resources for DSC Members
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- 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

- How social media can help you find jobs that aren't advertised
- Insightsoftware acquisition of Izenda targets embedded BI
- Top 20 cloud computing skills to boost your career in 2021
- Will codeless test automation work for you?
- Reap the rewards of IT/OT convergence in manufacturing
- New IoT Cybersecurity Improvement Law is a start, not a final solution
- Who belongs on a high-performance data governance team?
- Interpreted vs. compiled languages: What's the difference?
- IBM acquires MyInvenio to build its automation portfolio
- Structured vs. unstructured data: The key differences

Posted 12 April 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