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. The full series is accessible here.

**39 Statistical Concepts Explained in Simple English**

- Statistical Analysis: Definition, Examples
- Statistical Conclusion Validity
- Statistical Power: What it is, How to Calculate it
- Statistical Relationship: Definition, Examples
- Statistical Treatment
- Statistics Basics
- Statistics Symbols in Alphabetical Order
- What is Statistical Significance?
- Statistics Definitions in Plain English with Examples
- Stemplot in Statistics: What is it? How to Make One
- STEN Score
- Stepwise Regression
- Stochastic Model / Process: Definition and Examples
- Stratified Random Sample: Definition, Examples
- Studentized Range Distribution
- Subjective Probability: Definition & Examples
- Success/Failure Condition: Definition, Examples
- Summary Statistics: Definition and Examples
- Summation Notation (Sigma Notation): Definition and Use
- Symmetric Distribution in Statistics
- Systematic Error / Random Error: Definition and Examples
- Systematic Sampling: Definition & Examples + Repeated Samples
- T Statistic: Definition, Types and Comparison to Z Score
- T Critical Value: Easy Definition, Calculating
- T-Score vs. Z-Score: What's the Difference?
- T Score Formula: Calculate in Easy Steps
- T Test (Student's T-Test): Definition and Examples
- T-Distribution / Student's T: Definition, Step by Step Articles, Video
- T-Distribution Table (One Tail and Two-Tails)
- One Tailed Test or Two in Hypothesis Testing: How to Decide in Easy...
- Test-Retest Reliability / Repeatability
- Test Statistic: What is it? Types of Test Statistic
- Tetrachoric Correlation: Definition, Examples, Formula
- Theoretical Probability Definition and Examples
- Three-Way ANOVA: Definition
- Thurstone Scale: Definition, Examples
- Timeplot / Time Series: Definition, Examples & Analysis
- Total Probability Rule / Law of Total Probability Theorem
- Trend Analysis: Simple Definition, Examples
- Trimmed Mean / Truncated Mean: Definition, Examples
- Tukey Test / Tukey Procedure / Honest Significant Difference
- Two-Sample T-Test: When to Use it
- Two Sample z Test Excel 2013: Easy Steps
- Type I & Type II Errors (Decision Errors): Easy Definition, Exa...
- Types of graphs used in Math and Statistics
- Types of Variables in Statistics and Research
- Unbiased in Statistics: Definition and Examples
- Unequal Sample Sizes

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

© 2020 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