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Significant Statistics
Home
Material
Data and Sampling
Introduction to Statistics and Key Terms
Data Basics
Data Collection and Observational Studies
Designed Experiments
Sampling
Univariate Descriptive Statistics
Descriptive Statistics and Frequency Distributions
Displaying and Describing Categorical Data
Displaying Quantitative Data
Describing Quantitative Distributions
Measures of Location and Outliers
Measures of Center
Measures of Spread
Bivariate Descriptive Statistics
Introduction to Bivariate Data
Visualizing Bivariate Quantitative Data
Measures of Association for Bivariate Quantitative Data
Modeling Linear Relationships
Cautions About Regression
Probability Distributions
Introduction to Probability and Random Variables
Discrete Random Variables
The Binomial Distribution
Continuous Random Variables
The Normal Distribution
Normal Approximation
Foundations of Inference
Point Estimation and Sampling Distributions
The Sampling Distribution of the Sample Mean (CLT)
Introduction to Confidence Intervals
Behavior of Confidence Intervals
Intro to Hypothesis Testing
Hypothesis Testing In-Depth
One Sample Inference
The Sampling Distribution of the Sample Mean (t)
Inference for the Mean in Practice
The Sampling Distribution of the Sample Proportion
Inference for a Proportion
Behavior of Confidence Intervals for a Proportion
Two Sample Inference
Inference for Two Dependent Samples (Matched Pairs)
Inference for Two Independent Sample Means
Inference for Two Sample Proportions
Extra Topics
Probability
Probability Terminology
Compound Events
Advanced Probability
The Poisson Distribution
Handling Continuous Random Variables
The Exponential Distribution
Advanced Inference
Assessing Normality Visually
Inference for Two Independent Sample Means (Pooling)
Goodness of Fit
Two-Way Tables Tests for Association
One-Way ANOVA
Inference for Regression
Bivariate Data
Simple Linear Regression
Measures of Association for Bivariate Categorical Data
Links
Significant Statistics
Home
Material
Data and Sampling
Introduction to Statistics and Key Terms
Data Basics
Data Collection and Observational Studies
Designed Experiments
Sampling
Univariate Descriptive Statistics
Descriptive Statistics and Frequency Distributions
Displaying and Describing Categorical Data
Displaying Quantitative Data
Describing Quantitative Distributions
Measures of Location and Outliers
Measures of Center
Measures of Spread
Bivariate Descriptive Statistics
Introduction to Bivariate Data
Visualizing Bivariate Quantitative Data
Measures of Association for Bivariate Quantitative Data
Modeling Linear Relationships
Cautions About Regression
Probability Distributions
Introduction to Probability and Random Variables
Discrete Random Variables
The Binomial Distribution
Continuous Random Variables
The Normal Distribution
Normal Approximation
Foundations of Inference
Point Estimation and Sampling Distributions
The Sampling Distribution of the Sample Mean (CLT)
Introduction to Confidence Intervals
Behavior of Confidence Intervals
Intro to Hypothesis Testing
Hypothesis Testing In-Depth
One Sample Inference
The Sampling Distribution of the Sample Mean (t)
Inference for the Mean in Practice
The Sampling Distribution of the Sample Proportion
Inference for a Proportion
Behavior of Confidence Intervals for a Proportion
Two Sample Inference
Inference for Two Dependent Samples (Matched Pairs)
Inference for Two Independent Sample Means
Inference for Two Sample Proportions
Extra Topics
Probability
Probability Terminology
Compound Events
Advanced Probability
The Poisson Distribution
Handling Continuous Random Variables
The Exponential Distribution
Advanced Inference
Assessing Normality Visually
Inference for Two Independent Sample Means (Pooling)
Goodness of Fit
Two-Way Tables Tests for Association
One-Way ANOVA
Inference for Regression
Bivariate Data
Simple Linear Regression
Measures of Association for Bivariate Categorical Data
Links
More
Home
Material
Data and Sampling
Introduction to Statistics and Key Terms
Data Basics
Data Collection and Observational Studies
Designed Experiments
Sampling
Univariate Descriptive Statistics
Descriptive Statistics and Frequency Distributions
Displaying and Describing Categorical Data
Displaying Quantitative Data
Describing Quantitative Distributions
Measures of Location and Outliers
Measures of Center
Measures of Spread
Bivariate Descriptive Statistics
Introduction to Bivariate Data
Visualizing Bivariate Quantitative Data
Measures of Association for Bivariate Quantitative Data
Modeling Linear Relationships
Cautions About Regression
Probability Distributions
Introduction to Probability and Random Variables
Discrete Random Variables
The Binomial Distribution
Continuous Random Variables
The Normal Distribution
Normal Approximation
Foundations of Inference
Point Estimation and Sampling Distributions
The Sampling Distribution of the Sample Mean (CLT)
Introduction to Confidence Intervals
Behavior of Confidence Intervals
Intro to Hypothesis Testing
Hypothesis Testing In-Depth
One Sample Inference
The Sampling Distribution of the Sample Mean (t)
Inference for the Mean in Practice
The Sampling Distribution of the Sample Proportion
Inference for a Proportion
Behavior of Confidence Intervals for a Proportion
Two Sample Inference
Inference for Two Dependent Samples (Matched Pairs)
Inference for Two Independent Sample Means
Inference for Two Sample Proportions
Extra Topics
Probability
Probability Terminology
Compound Events
Advanced Probability
The Poisson Distribution
Handling Continuous Random Variables
The Exponential Distribution
Advanced Inference
Assessing Normality Visually
Inference for Two Independent Sample Means (Pooling)
Goodness of Fit
Two-Way Tables Tests for Association
One-Way ANOVA
Inference for Regression
Bivariate Data
Simple Linear Regression
Measures of Association for Bivariate Categorical Data
Links
Links
Significant Statistics
Textbook
Â
YouTube Channel
Â
Podcast
– Audio only versions of YouTube concept videos available on most distribution platforms (Apple & google podcasts, Spotify, etc…)
Â
Recommended Readings:Â
The American Statistical Association’s (ASA) Statement on P-values
Christine L. Borgman - Big Data, Little Data, No Data
Ben Cohen – The Hot Hand: The Mystery and Science of Streaks
Carol Dweck - Mindset: The New Psychology of Success
Leonard Mlodinow – The Drunkard’s Walk: How Randomness Rules Our LivesÂ
David Salsburg – The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth CenturyÂ
Nate Silver – The Signal and the Noise: Why so Many Predictions Fail — but Some Don’t
Cool Statistics Related Things:
Cengage Learning SALT: Statistical Analysis and Learning Tool
Crash Course Statistics
FiveThirtyEight
Freak
o
nomics (Podcast)
Khan Academy: Statistics and probability
Information is Beautiful
r/dataisbeautiful
Spurious CorrelationsÂ
Stat + Stories Podcast
Statistics Flash Card Study Tool (Quizlet
)
Â
Open Data Repositories:
Association of Religion Data Archive (ARDA)
Cengage Dataset Hub
CDC Data and Statistics
Census Bureau
Collection of Really Great, Interesting, Situated Datasets (
CORGIS
)
Data.gov
Google Dataset Search
Inter-university Consortium for Political and Social Research (ICPSR)
Kaggle
r/Datasets
Stack Exchange
University Data Commons
Introductory Statistics Open Educational Resources (OER) Textbooks:
Significant Statistics
OpenStax
Introductory Statistics
Introductory Business Statistics
OpenIntro
OpenIntro Statistics
Introduction to Modern Statistics
Introductory Statistics for the Life and Biomedical Sciences
Introductory Statistics with Randomization and Simulation
Video Textbook by Dr. Bryan Koenig
LibreTexts:
OpenStax textbook w/ Multimedia and Interactivity
Interactive Statistics
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