# Statistics

Khan Academy, , Prof. Salman Khan

Updated On 02 Feb, 19

Khan Academy, , Prof. Salman Khan

Updated On 02 Feb, 19

Statistics: The average | Descriptive statistics,Sample vs. Population Mean,Variance of a population,Sample variance,Standard -deviation,Alternate variance formulas - Introduction to Random Variables - Probability density functions - Binomial Distribution - Expected Value: E(X) - Expected value of binomial distribution - Poisson process - 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 - k12.org exercise: Standard normal distribution and the empirical - ck12.org: More empirical rule and z-score practice - Central limit theorem - Sampling distribution of the sample mean - Standard error of the mean - Sampling distribution example problem - Confidence interval - Mean and variance of Bernoulli distribution example - Bernoulli distribution mean and variance formulas - Margin of error - Confidence interval example - Small sample size confidence intervals - Hypothesis testing and p-values - One-tailed and two-tailed tests - Z-statistics vs. T-statistics - 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

- On-demand Videos
- Login & Track your progress
- Full Lifetime acesses

4.1 ( 11 )

More on the binomial distribution

More free lessons at httpwww.khanacademy.orgvideo?v=FI8xtVaI068

Sam

Sep 12, 2018

Excellent course helped me understand topic that i couldn't while attendinfg my college.

Dembe

March 29, 2019

Great course. Thank you very much.