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简体中文
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简体中文
Probability and Mathematical Statistics
Task 32：The strong law of large numbers
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Task List
Task 1：The history of the probability theory
Task 2：Counting techniques
Task 3：Probability Measure
Task 4：Conditional probability
Task 5：Bayes'Theorem
Task 6：Independence
Task 7：Introduction
Task 8：Discrete random variables
Task 9：Distribution functions of continuous random variab
Task 10：Percentiles for continuous random variables
Task 11：Expectation
Task 12：Variance
Task 13：The inequalities of Markov and Chebyshev
Task 14：Bernoulli and binomial distributions
Task 15：Geometric distribution
Task 16：Poisson distribution
Task 17：Uniform distribution
Task 18：Normal distribution
Task 19：Exponential distribution
Task 20：Cauchy distribution
Task 21：Gamma distribution
Task 22：Bivariate discrete random variables
Task 23：Bivariate continuous random variables
Task 24：Independent random variables
Task 25：Multivariate random variables
Task 26：Sums of independent random variables
Task 27：Conditional distribution
Task 28：Expectation of sums of random variables
Task 29：Covariance,variance of sums and correlations
Task 30：The weak law of large numbers
Task 31：The central limit theorem
Task 32：The strong law of large numbers
Task 33：Some basic notions of statistics
Task 34：Sample statistics
Task 35：Sample mean and sample variance
Task 36：General concepts
Task 37：Unbiased estimators
Task 38：Properties of confidence intervals
Task 39：Hypotheses and test procedures
Task 40：Curve fitting
Task 41：Regression and method of least squares
