33 Statistical Concepts Explained in Simple English – Part 14
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.
33 Statistical Concepts Explained in Simple English
Probability Density Function/Probability Distribution Function: Definition, TI83 NormalPDF
Probability Distribution: List of Statistical Distributions
Probability Mass Function (PMF) / Frequency Function: Easy Definition, Examples
Probability of A and B / A or B
Probability of Picking From a Deck of Cards
Probability of Selecting a Person from a Group or Committee
Probability Problems: Solve them the easy way!
Probability Sampling: Definition,Types, Advantages and Disadvantages
Propensity Score Matching: Definition & Overview
Prospective Study: Definition, Examples
Purposive Sampling (Deliberate Sampling)
P-Value in Statistical Hypothesis Tests: What is it?
Pygmalion Effect / Rosenthal Effect: Definition, Examples
Q Q Plots: Simple Definition & Example
Quadratic Mean / Root Mean Square
Quadratic Regression: Simple Definition, TI-Calculator Instructions
Qualitative Variable: Definition and Examples
Quantile: Definition and How to Find Them in Easy Steps
Quantitative Variables (Numeric Variables) in Statistics: Definition, Examples
Quota Sampling: Definition and Examples
Q-Value: Definition and Examples
Random Event: Definition, How to Find Probability
Randomization in Statistics and Experimental Design
Random Variable: What is it in Statistics?
Range Rule of Thumb
Ratio Scale: Definitions, Examples of Ratio Variables
Rayleigh Distribution: Definition, Uses, Mean, Variance
Recall Bias: Definition, Examples, Strategies to Avoid it
Receiver Operating Characteristic (ROC) Curve: Definition, Example
Row Echelon Form & Reduced Row Echelon Form
Regression to the Mean: Definition, Examples
Regularization: Simple Definition, L1 & L2 Penalties
Rejection Region (Critical Region) for Statistical 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 | Part 12 | Part 13
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Link: 33 Statistical Concepts Explained in Simple English – Part 14