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.

**23 Statistical Concepts Explained in Simple English**

- F Statistic / F Value: Definition and How to Run an F-Test
- F Table for alpha levels from .01 to .10 StatisticsHowTo
- F Test: Simple Definition, Step by Step Examples -- Run by Hand / E...
- Face Validity: Definition and Examples
- Factor analysis: Easy Definition
- Factorial of a Number (!): Solve Factorials in Easy Steps
- False Discovery Rate: Simple Definition, Adjusting for FDR
- False Positive and False Negative: Definition and Examples
- Familywise Error Rate (Alpha Inflation): Definition
- Fat Tail Distribution: Definition, Examples
- 5 Number Summary in Excel: Easy Steps with Video
- Outliers: Finding Them in Data, Formula, Examples. Easy Steps and V...
- How to Find Pearson's Coefficient of Skewness in Excel
- Pooled Sample Standard Error: How to Calculate it
- Regression Slope Intercept: How to Find it in Easy Steps
- Standard Error Excel 2013 in Easy Steps
- Standard Error of Regression Slope
- How to Find t Critical Value on TI 83
- Variance in Minitab: How to Find it
- Finite Population Correction Factor FPC: Formula, Examples
- Fisher Z-Transformation
- Fleiss' Kappa
- Fmax / Hartley's Test: Definition, Step by Step Example, Table
- Fractile Definition Usage and How to Calculate
- Frequency Distribution Table: Examples, How to Make One
- Frequency Distribution Table in Excel -- Easy Steps!
- Frequency Polygon: Definition and How to Make One
- Friedman's Test / Two Way Analysis of Variance by Ranks

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

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

**DSC Resources**

- Book and Resources for DSC Members
- 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
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions

© 2020 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.

- Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes
- Book: Classification and Regression In a Weekend - With Python
- 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