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.

**27 Statistical Concepts Explained in Simple English**

- Cumulative Frequency Distribution: Simple Definition, Easy Steps
- Cumulative Frequency Table in Excel: Easy Steps
- Data Collection Methods
- What is a Decile?
- Decision Tree: Definition and Examples
- Degrees of Freedom: What are they?
- Density Curve Examples
- Dependent Variable: Definition and Examples
- Design Effect: Definition, Examples
- Deterministic: Definition and Examples
- Detrend Data
- Dichotomous Variable: Definition
- Difference Between BinomPDF and BinomCDF
- Curse of Dimensionality & High Dimensional Data
- Acyclic Graph & Directed Acyclic Graph: Definition, Examples
- Direction of Association in Statistics: What is it?
- Discrete Probability Distribution: Definition & Examples
- What is a Discrete Variable in Statistics?
- Discrete vs Continuous variables: How to Tell the Difference
- Disjoint Events: Definition, Examples
- Dispersion / Measures of Dispersion: Definition
- Dixon's Q Test: Definition, Step by Step Examples + Q Critical Values Tables
- Double Sampling: Simple Definition, Types
- Dummy Variables / Indicator Variable: Simple Definition, Examples
- Duncan's Multiple Range Test (MRT)
- Dunnett's Test / Dunnett's Method: Definition
- Dunn's test: Definition

Previous editions can be accessed here: Part 1 | Part 2 | Part 3 | Part 4. Also, if you downloaded our book *Applied Stochastic Processes*, there is an error page 64, that I fixed. The new version of the book can be found here.

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

© 2019 Data Science Central ® 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.

**Technical**

- Free Books and Resources for DSC Members
- Learn Machine Learning Coding Basics in a weekend
- New Machine Learning Cheat Sheet | Old one
- Advanced Machine Learning with Basic Excel
- 12 Algorithms Every Data Scientist Should Know
- Hitchhiker's Guide to Data Science, Machine Learning, R, Python
- Visualizations: Comparing Tableau, SPSS, R, Excel, Matlab, JS, Pyth...
- How to Automatically Determine the Number of Clusters in your Data
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- Fast Combinatorial Feature Selection with New Definition of Predict...
- 10 types of regressions. Which one to use?
- 40 Techniques Used by Data Scientists
- 15 Deep Learning Tutorials
- R: a survival guide to data science with R

**Non Technical**

- Advanced Analytic Platforms - Incumbents Fall - Challengers Rise
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- How to Become a Data Scientist - On your own
- 16 analytic disciplines compared to data science
- Six categories of Data Scientists
- 21 data science systems used by Amazon to operate its business
- 24 Uses of Statistical Modeling
- 33 unusual problems that can be solved with data science
- 22 Differences Between Junior and Senior Data Scientists
- Why You Should be a Data Science Generalist - and How to Become One
- Becoming a Billionaire Data Scientist vs Struggling to Get a $100k Job
- Why do people with no experience want to become data scientists?

**Articles from top bloggers**

- Kirk Borne | Stephanie Glen | Vincent Granville
- Ajit Jaokar | Ronald van Loon | Bernard Marr
- Steve Miller | Bill Schmarzo | Bill Vorhies

**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