8 minute stats lectures

An Introduction to the Normal Distribution

5:27

An Introduction to the Normal Distribution
Finding Probabilities and Percentiles for a Continuous Probability Distribution

11:59

Finding Probabilities and Percentiles for a Continuous Probability Distribution
An Introduction to the F Distribution

4:04

An Introduction to the F Distribution
Introduction to Simple Linear Regression

8:09

Introduction to Simple Linear Regression
Introduction to the Multinomial Distribution

11:15

Introduction to the Multinomial Distribution
An Introduction to Continuous Probability Distributions

5:52

An Introduction to Continuous Probability Distributions
Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics

17:24

Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics
The Normal Approximation to the Binomial Distribution

14:10

The Normal Approximation to the Binomial Distribution
Introduction to the Negative Binomial Distribution

7:33

Introduction to the Negative Binomial Distribution
Introduction to the Central Limit Theorem

13:14

Introduction to the Central Limit Theorem
Introduction to the Bernoulli Distribution

5:02

Introduction to the Bernoulli Distribution
Expected Value and Variance of Discrete Random Variables

7:57

Expected Value and Variance of Discrete Random Variables
An Introduction to the Chi-Square Distribution

4:10

An Introduction to the Chi-Square Distribution
The Hypergeometric Distribution: An Introduction (fast version)

9:31

The Hypergeometric Distribution: An Introduction (fast version)
An Introduction to Hypothesis Testing

9:54

An Introduction to Hypothesis Testing
Introduction to Statistics

56:46

Introduction to Statistics
Deriving the Mean and Variance of a Continuous Probability Distribution

7:22

Deriving the Mean and Variance of a Continuous Probability Distribution
Sampling Distributions: Introduction to the Concept

7:52

Sampling Distributions: Introduction to the Concept
Introduction to the t Distribution (non-technical)

8:54

Introduction to the t Distribution (non-technical)
An Introduction to the Hypergeometric Distribution

15:35

An Introduction to the Hypergeometric Distribution
One-Way ANOVA: The Formulas

9:06

One-Way ANOVA: The Formulas
Chi-square tests for count data: Finding the p-value

5:14

Chi-square tests for count data: Finding the p-value
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

1:56:10

Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
Simple Linear Regression: The Least Squares Regression Line

7:24

Simple Linear Regression: The Least Squares Regression Line
Intervals (for the Mean Response and a Single Response) in Simple Linear Regression

12:27

Intervals (for the Mean Response and a Single Response) in Simple Linear Regression
Simple Linear Regression: Assumptions

3:05

Simple Linear Regression: Assumptions
Z Tests for One Mean: Introduction

11:13

Z Tests for One Mean: Introduction
Standardizing Normally Distributed Random Variables

10:28

Standardizing Normally Distributed Random Variables
Introduction to Discrete Random Variables and Discrete Probability Distributions

11:46

Introduction to Discrete Random Variables and Discrete Probability Distributions
Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion

2:24:10

Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
The Relationship Between the Binomial and Poisson Distributions

5:24

The Relationship Between the Binomial and Poisson Distributions
Calculating Power and the Probability of a Type II Error (A One-Tailed Example)

11:32

Calculating Power and the Probability of a Type II Error (A One-Tailed Example)
Standardizing Normally Distributed Random Variables (fast version)

6:38

Standardizing Normally Distributed Random Variables (fast version)
The Binomial Distribution: Mathematically Deriving the Mean and Variance

13:54

The Binomial Distribution: Mathematically Deriving the Mean and Variance
An Introduction to the t Distribution (Includes some mathematical details)

6:10

An Introduction to the t Distribution (Includes some mathematical details)
Normal Quantile-Quantile Plots

12:09

Normal Quantile-Quantile Plots
Lecture 1: Probability and Counting | Statistics 110

46:29

Lecture 1: Probability and Counting | Statistics 110
Statistics Lecture 1.3: Exploring Categories of Data, Levels of Measurement

31:36

Statistics Lecture 1.3: Exploring Categories of Data, Levels of Measurement
Deriving a Confidence Interval for the Mean (The Rationale Behind the Confidence Interval Formula)

6:40

Deriving a Confidence Interval for the Mean (The Rationale Behind the Confidence Interval Formula)
Simple Linear Regression: An Example

9:51

Simple Linear Regression: An Example
Inference on the Slope (An Example)

7:01

Inference on the Slope (An Example)
The Correlation Coefficient and Coefficient of Determination (Old, fast version)

6:17

The Correlation Coefficient and Coefficient of Determination (Old, fast version)
Inference on the Slope (The Formulas)

6:57

Inference on the Slope (The Formulas)
Statistics - A Full University Course on Data Science Basics

8:15:04

Statistics - A Full University Course on Data Science Basics
Z Tests for One Mean: An Example

6:26

Z Tests for One Mean: An Example
One Sample t-Test

4:49

One Sample t-Test
Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)

13:40

Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)
Pooled-Variance t Tests and Confidence Intervals: Introduction

11:04

Pooled-Variance t Tests and Confidence Intervals: Introduction
Chi-square Tests for One-way Tables

9:07

Chi-square Tests for One-way Tables
Using the Chi-square Table to Find Areas and Percentiles

5:44

Using the Chi-square Table to Find Areas and Percentiles
An Introduction to the Chi-Square Distribution

5:28

An Introduction to the Chi-Square Distribution
The Sampling Distribution of the Sample Mean

11:40

The Sampling Distribution of the Sample Mean
Z Tests for One Mean: The p-value

10:01

Z Tests for One Mean: The p-value
t Tests for One Mean: Introduction

13:46

t Tests for One Mean: Introduction
Statistical Significance versus Practical Significance

4:47

Statistical Significance versus Practical Significance
Statistics Lecture 3.2: Finding the Center of a Data Set. Mean, Median, Mode

1:11:28

Statistics Lecture 3.2: Finding the Center of a Data Set. Mean, Median, Mode
Introduction to One-Way ANOVA

5:44

Introduction to One-Way ANOVA
Independent Samples t-Test

6:53

Independent Samples t-Test
Statistical Estimation | Lecture 1 | Biostatistics

38:40

Statistical Estimation | Lecture 1 | Biostatistics
One Sample z-Test

6:17

One Sample z-Test