Watch these 85+ brilliant videos on various topics in introductory statistics by Salman Khan from the Khan Academy.
If you don’t know about the Khan Academy, the free online website with over 3300 instructional videos that have been downloaded over 175 million times, then watch this TED video and be impressed:
from the Khan Academy website:
Statistics
Introduction to statistics. Will eventually cover all of the major topics in a first-year statistics course (not there yet!)Videos
- Mean Median and Mode
- Range and Mid-range
- Reading Pictographs
- Reading Bar Graphs
- u08_l1_t2_we2 Reading Line Graphs
- Reading Pie Graphs (Circle Graphs)
- Misleading Line Graphs
- u08_l1_t2_we3 Stem-and-leaf Plots
- Box-and-Whisker Plots
- Reading Box-and-Whisker Plots
- Statistics: The Average
- Statistics: Sample vs. Population Mean
- Statistics: Variance of a Population
- Statistics: Sample Variance
- Statistics: Standard Deviation
- Statistics: Alternate Variance Formulas
- Introduction to Random Variables
- Probability Density Functions
- Binomial Distribution 1
- Binomial Distribution 2
- Binomial Distribution 3
- Binomial Distribution 4
- Expected Value: E(X)
- Expected Value of Binomial Distribution
- Poisson Process 1
- Poisson Process 2
- Law of Large Numbers
- Normal Distribution Excel Exercise
- Introduction to the Normal Distribution
- ck12.org Normal Distribution Problems: Qualitative sense of normal distributions
- ck12.org Normal Distribution Problems: z-score
- ck12.org Normal Distribution Problems: Empirical Rule
- ck12.org Exercise: Standard Normal Distribution and the Empirical Rule
- ck12.org: More Empirical Rule and Z-score practice
- Central Limit Theorem
- Sampling Distribution of the Sample Mean
- Sampling Distribution of the Sample Mean 2
- Standard Error of the Mean
- Sampling Distribution Example Problem
- Confidence Interval 1
- Mean and Variance of Bernoulli Distribution Example
- Bernoulli Distribution Mean and Variance Formulas
- Margin of Error 1
- Margin of Error 2
- Confidence Interval Example
- Small Sample Size Confidence Intervals
- Hypothesis Testing and P-values
- One-Tailed and Two-Tailed Tests
- Z-statistics vs. T-statistics
- Type 1 Errors
- Small Sample Hypothesis Test
- T-Statistic Confidence Interval
- Large Sample Proportion Hypothesis Testing
- Variance of Differences of Random Variables
- Difference of Sample Means Distribution
- Confidence Interval of Difference of Means
- Clarification of Confidence Interval of Difference of Means
- Hypothesis Test for Difference of Means
- Comparing Population Proportions 1
- Comparing Population Proportions 2
- Hypothesis Test Comparing Population Proportions
- Squared Error of Regression Line
- Proof (Part 1) Minimizing Squared Error to Regression Line
- Proof (Part 3) Minimizing Squared Error to Regression Line
- Proof (Part 4) Minimizing Squared Error to Regression Line
- Regression Line Example
- Proof Part 2 Minimizing Squared Error to Line
- R-Squared or Coefficient of Determination
- Second Regression Example
- Calculating R-Squared
- Covariance and the Regression Line
- Chi-Square Distribution Introduction
- Pearson’s Chi Square Test (Goodness of Fit)
- Contingency Table Chi-Square Test
- ANOVA 1 – Calculating SST (Total Sum of Squares)
- ANOVA 2 – Calculating SSW and SSB (Total Sum of Squares Within and Between).avi
- ANOVA 3 -Hypothesis Test with F-Statistic
- Correlation and Causality
- Deductive Reasoning 1
- Deductive Reasoning 2
- Deductive Reasoning 3
- U12_L1_T3_we1 Inductive Reasoning 1
- Inductive Reasoning 2
- Inductive Reasoning 3
- U03_L1_T1_we2 Inductive
