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Khan Academy (Salman Khan) |
Steve Mays |
Statistics Lectures |
Statistics Learning Centre |
Other |
Probability |
Basic Probability,
Venn Diagram,
Addition Rule
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Addition Rule,
Basics of Probability
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AP Stats Ch. 14 - Probability,
General Probability Rules,
Addition Rules for Probablity (Using cards),
Introduction to Probability
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Conditional Probability |
Conditional Probability
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Conditional Probability Example,
Another Conditional Probability Example
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Multiplication Rule
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Calculating Probaility - "And" statements, independent,
Conditional Probabilities,
Probability Problem Involving 'At Least' and 'Complements',
Complement of an Event - Probability,
Stats: Complement Rule,
Conditional Probability & Dependent vs. Independent Events
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Random Variables |
Random Variables,
Discrete and continuous random variables,
Expected Value of a Random Variable
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Discrete Probability Distribution,
Mean and SD of a Probability Model,
Expected Value of a Probability Distribution
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Discrete and Continuous Random Variables,
Mean and Expected Value of Discrete Random Variables,
Variance and Standard Deviation of Discrete Random Variables
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Understanding Random Variables
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Introduction to Discrete Random Variables and Discrete Probability Distributions,
An Introduction to Continuous Probability Distributions,
Expected Value and Variance of Discrete Random Variables,
Random Variable Basics,
Discrete Random Variable Basics,
Discrete vs. Continuous Random Variables
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Binomial Distribution |
Binomial Distribution 1,
Binomial Distribution 2,
Binomial Distribution 3,
Expected Value of Binomial Distribution,
Introduction to the Normal Distribution
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Binomial Distribution with Formula,
Binomial Distribution Example with a Tree Diagram,
Mean, Variance, and Standard Deviation of a Binomial Distribution,
Properties of a Normal Distribution
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Binomial Distribution,
Mean and Standard Deviation of Binomial Random Variables
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An Introduction to the Binomial Distribution,
Introduction to the Normal Distribution,
The Binomial Distribution / Binomial Probability Function,
Stats: Binomial Probability Distribution (Part 1),
Stats: Binomial Probability Distribution (Part 2),
Binomial Random Variables,
Stats: What is a "Standard Normal Distribution"?
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Normal Distribution |
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Using the TI-84 to Find Normal Probability,
TI-84 normalcdf (calculating area under a normal distribution curve),
Normal Distribution & Z-scores,
z-score Calculations and Percentiles in a Normal Distribution,
Ti 83/84 Normal Distributions: normalcdf
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Sampling Distribution of the Sample Mean |
Sampling Distribution of the Sample Mean,
Sampling Distribution of the Sample Mean 2,
Central Limit Theorem
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Properties of a Sampling Distribution,
Using a Sampling Distribution for Means
Finding Probability of a Sampling Distribution of Means Example 1,
Finding Probability of a Sampling Distribution of Means Example 2,
Finding Probability of a Sampling Distribution of Means Example 2
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Distribution of the Sample Mean,
Central Limit Theorem
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Central Limit Theorem,
The Sampling Distribution of the Sample Mean,
Statistics 101: Sampling Distributions,
The Sampling Distribution of the Sample Mean (fast version),
Central Limit Theorem Practice Problem #1,
What is the CENTRAL LIMIT THEOREM?
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Margin of Error |
Margin of Error 1,
Margin of Error 2
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Confidence Intervals for Proportions - Example,
Confidence Intervals for Proportions - Calculator Edition,
Finding Sample Size for a Confidence Interval for Proportions
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Confidence Interval for Population Proportions
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WHAT IS A CONFIDENCE INTERVAL???,
How to Calculate Margin of Error,
Introduction fo Confidence Intervals,
Confidence Intervals Part 1
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Confidence Interval for Means |
Confidence Interval
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Confidence Interval for Means - Large Samples (No Calculator),
Confidence Interval for Means - Large Samples (Calculator Edition),
Confidence Interval for Means - t-Distribution (Small Samples)
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Confidence Intervals about the Mean
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Confidence Interval for a Mean
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Confidence Intervals for One Mean (Sigma Not Known),
Confidence Intervals for One Mean (Sigma Known),
Confidence Interval for One Population Variance,
Confidence Interval for Population Means in Statistics,
Estimating the Population Mean, Part 1 of 2,
Estimating the Population Mean, Part 2 of 2,
Sample Mean Proximity to Population Mean,
Confidence Intervals for the Variance,
Population Variance and Standard Deviation
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Basics of Hypothesis Testing |
Simple hypothesis testing,
One-Tailed and Two-Tailed Tests,
Type I Errors
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Null and Alternative Hypotheses,
Rejection Region,
Type I and Type II Errors
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Null and Alternative Hypotheses,
Type I and Type II Errors
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Introduction to Hypothesis Testing,
What is a p-value?,
Type I Errors, Type II Errors, and Power,
One Sided Test vs. Two Sided Test,
Null and Alternative Hypotheses - Part 1,
Null and Alternative Hypotheses - Part 2,
Introduction fo Hypothesis Testing in Statistics,
The Most Simple Introduction to Hypothesis Testing!,
Stats: Hypothesis Testing (p-value Method)
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Hypothesis Testing for Proportions |
Large Sample Proportion Hypothesis Testing
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Hypothesis Test for Proportions,
Hypothesis Test for Large Sample Means - One Tailed Example,
Hypothesis Test for Large Sample Means - Two Tailed Example
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One Sample z-Test for Proportions,
One Sample z-Test
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Conducting a Hypothesis Test
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Hypothesis Testing for Population Proportion,
Testing Claims about Population Proportions,
Testing Claims about Population Means
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Hypothesis Test for Two Proportions |
Comparing Population Proportions 1,
Comparing Population Proportions 2,
Hypothesis Test for Difference of Means
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Test Statistic - Difference Between Proportions
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Confidence Intervals for the Difference of Two Proportions,
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Inference for Two Means: Introduction,
Inferences about Two Proportions
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Confidence Interval for Difference of Means |
Confidence Interval for Difference of Means
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Confidence Interval for the Difference Between Proportions
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Independent Samples t-Test,
Dependent Samples t-Test
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Linear Regression |
Regression Line Example
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Linear Regression
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Least Squares Regression Line Notes,
Simple Linear Regression: The Least Squares Regression Line,
Linear Regression - Least Squares Criterion Part 1,
Linear Regression - Least Squares Criterion Part 2
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Chi Square Test |
Chi-Square Distribution Introduction,
Pearson's Chi Square Test (Goodness of Fit)
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Statistics 101: Introduction to the Chi-square Test,
Simple Explanation of Chi-Squared,
An Introduction to the Chi-Square Distribution,
Chi-squared Test
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ANOVA |
ANOVA 1 - Calculating SST (Total Sum of Squares),
ANOVA 2 - Calculating SSW and SSB (Total Sum of Squares Within and Between),
ANOVA 3 -Hypothesis Test with F-Statistic
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How To Calculate and Understand Analysis of Variance (ANOVA) F Test.,
How to Calculate Anova (plugging numbers into equations) - Analysis of Variance,
Analysis of Variance (ANOVA),
Analysis of Variance (ANOVA)
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