Statistics

By Khan Academy
Published on Jan. 19, 2009
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Summary

Table of Contents


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


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


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


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


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 regression 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)


ANOVA 3: Hypothesis test with F-statistic


Correlation and causality | Statistical studies

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