Khan Academy Course , Prof. Salman Khan

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Khan Academy Course , Prof. Salman Khan

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

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4.4 (5 Ratings)

Introduction to random variables and probability distribution functions.
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- 1.Statistics The average | Descriptive statistics
- 2.Statistics Sample vs. Population Mean
- 3.Statistics Variance of a population
- 4.Statistics Sample variance
- 5.Statistics Standard deviation
- 6.Statistics Alternate variance formulas
- 7.Introduction to Random Variables
- 8.Probability density functions
- 9.Binomial Distribution 1
- 10.Binomial Distribution 2
- 11.Binomial Distribution 3
- 12.Binomial Distribution 4
- 13.Expected Value E(X)
- 14.Expected value of binomial distribution
- 15.Poisson process 1
- 16.Poisson process 2
- 17.Law of large numbers
- 18.Normal distribution excel exercise
- 19.Introduction to the normal distribution
- 20.ck12.org normal distribution problems Qualitative sense of normal distributions
- 21.ck12.org normal distribution problems z-score
- 22.ck12.org normal distribution problems Empirical rule
- 23.k12.org exercise Standard normal distribution and the empirical
- 24.ck12.org More empirical rule and z-score practice
- 25.Central limit theorem | Inferential statistics
- 26.Sampling distribution of the sample mean
- 27.Sampling distribution of the sample mean 2
- 28.Standard error of the mean | Inferential statistics
- 29.Sampling distribution example problem
- 30.Confidence interval 1 | Inferential statistics
- 31.Mean and variance of Bernoulli distribution example
- 32.Bernoulli distribution mean and variance formulas
- 33.Margin of error 1 | Inferential statistics
- 34.Margin of error 2
- 35.Confidence interval example
- 36.Small sample size confidence intervals
- 37.Hypothesis testing and p-values
- 38.One-tailed and two-tailed tests
- 39.Z-statistics vs. T-statistics
- 40.Type 1 errors
- 41.Small sample hypothesis test
- 42.T-statistic confidence interval | Inferential statistics
- 43.Large sample proportion hypothesis testing
- 44.Variance of differences of random variables
- 45.Difference of sample means distribution
- 46.Confidence interval of difference of means
- 47.Clarification of confidence interval of difference of means
- 48.Hypothesis test for difference of means
- 49.Comparing population proportions 1
- 50.Comparing population proportions 2

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