Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Axioms _ 5.6 Axiomatic Formulation _ DSE210x Courseware _ edX.pdf		Axioms _ 5.6 Axiomatic Formulation _ DSE210x Courseware _ edX.pdf
Bayes' Rule _ 6.5 Bayes' Rule _ DSE210x Courseware _ edX.pdf		Bayes' Rule _ 6.5 Bayes' Rule _ DSE210x Courseware _ edX.pdf
Bernoulli _ 8.1 Bernoulli Distribution _ DSE210x Courseware _ edX.pdf		Bernoulli _ 8.1 Bernoulli Distribution _ DSE210x Courseware _ edX.pdf
Binomial Coefficients _ 4.4 Applications of Binomial Coefficients _ DSE210x Courseware _ edX.pdf		Binomial Coefficients _ 4.4 Applications of Binomial Coefficients _ DSE210x Courseware _ edX.pdf
Binomial Distribution _ 8.2 Binomial Distribution _ DSE210x Courseware _ edX.pdf		Binomial Distribution _ 8.2 Binomial Distribution _ DSE210x Courseware _ edX.pdf
CLT _ 10.6 Central Limit Theorem _ DSE210x Courseware _ edX.pdf		CLT _ 10.6 Central Limit Theorem _ DSE210x Courseware _ edX.pdf
Cartesian Powers _ 3.5 Cartesian Powers _ DSE210x Courseware _ edX.pdf		Cartesian Powers _ 3.5 Cartesian Powers _ DSE210x Courseware _ edX.pdf
Cartesian Products _ 3.4 Cartesian Products _ DSE210x Courseware _ edX.pdf		Cartesian Products _ 3.4 Cartesian Products _ DSE210x Courseware _ edX.pdf
Chebyshev's Inequality _ 10.2 Chebyshev Inequalities _ DSE210x Courseware _ edX.pdf		Chebyshev's Inequality _ 10.2 Chebyshev Inequalities _ DSE210x Courseware _ edX.pdf
Combinations _ 4.3 Combinations _ DSE210x Courseware _ edX.pdf		Combinations _ 4.3 Combinations _ DSE210x Courseware _ edX.pdf
Conditional Probability _ 6.1 Conditional Probability _ DSE210x Courseware _ edX.pdf		Conditional Probability _ 6.1 Conditional Probability _ DSE210x Courseware _ edX.pdf
Confidence Interval on Mean _ 11.6 Confidence Interval _ DSE210x Courseware _ edX.pdf		Confidence Interval on Mean _ 11.6 Confidence Interval _ DSE210x Courseware _ edX.pdf
Continuous Distributions _ 9.1 Continuous Distributions _ DSE210x Courseware _ edX.pdf		Continuous Distributions _ 9.1 Continuous Distributions _ DSE210x Courseware _ edX.pdf
Counting Variations _ 3.6 Variations _ DSE210x Courseware _ edX.pdf		Counting Variations _ 3.6 Variations _ DSE210x Courseware _ edX.pdf
Covariance _ 7.9 Covariance _ DSE210x Courseware _ edX.pdf		Covariance _ 7.9 Covariance _ DSE210x Courseware _ edX.pdf
Cumulative Distribution Function _ 7.2 Cumulative Distribution Function _ DSE210x Courseware _ edX.pdf		Cumulative Distribution Function _ 7.2 Cumulative Distribution Function _ DSE210x Courseware _ edX.pdf
Disjoint Unions _ 3.2 Disjoint Unions _ DSE210x Courseware _ edX.pdf		Disjoint Unions _ 3.2 Disjoint Unions _ DSE210x Courseware _ edX.pdf
Distribution Families _ 8.0 Introduction _ DSE210x Courseware _ edX.pdf		Distribution Families _ 8.0 Introduction _ DSE210x Courseware _ edX.pdf
Distribution Types _ 5.2 Distribution Types _ DSE210x Courseware _ edX.pdf		Distribution Types _ 5.2 Distribution Types _ DSE210x Courseware _ edX.pdf
Events _ 5.3 Events _ DSE210x Courseware _ edX.pdf		Events _ 5.3 Events _ DSE210x Courseware _ edX.pdf
Expectation _ 7.3 Expectation _ DSE210x Courseware _ edX.pdf		Expectation _ 7.3 Expectation _ DSE210x Courseware _ edX.pdf
Expectation of Functions _ 7.5 Expectation of Modified Variables _ DSE210x Courseware _ edX.pdf		Expectation of Functions _ 7.5 Expectation of Modified Variables _ DSE210x Courseware _ edX.pdf
Exponential Distribution _ 9.4 Exponential Distribution _ DSE210x Courseware _ edX.pdf		Exponential Distribution _ 9.4 Exponential Distribution _ DSE210x Courseware _ edX.pdf
Final Exam _ Final Exam _ DSE210x Courseware _ edX.pdf		Final Exam _ Final Exam _ DSE210x Courseware _ edX.pdf
Functions of Random Variables _ 9.2 Functions of Random Variables _ DSE210x Courseware _ edX.pdf		Functions of Random Variables _ 9.2 Functions of Random Variables _ DSE210x Courseware _ edX.pdf
Games of Chance _ 5.5 Games of Chance _ DSE210x Courseware _ edX.pdf		Games of Chance _ 5.5 Games of Chance _ DSE210x Courseware _ edX.pdf
General Unions _ 3.3 General Unions _ DSE210x Courseware _ edX.pdf		General Unions _ 3.3 General Unions _ DSE210x Courseware _ edX.pdf
Geometric Distribution Examples _ 8.5 Geometric Distribution Example _ DSE210x Courseware _ edX.pdf		Geometric Distribution Examples _ 8.5 Geometric Distribution Example _ DSE210x Courseware _ edX.pdf
Geometric _ 8.4 Geometric Distribution _ DSE210x Courseware _ edX.pdf		Geometric _ 8.4 Geometric Distribution _ DSE210x Courseware _ edX.pdf
Hypothesis Testing - Z and T Tests _ 13.4 Hypothesis Testing - Z and T Tests _ DSE210x Courseware _ edX.pdf		Hypothesis Testing - Z and T Tests _ 13.4 Hypothesis Testing - Z and T Tests _ DSE210x Courseware _ edX.pdf
Hypothesis Testing - p-Values _ 13.2 Hypothesis Testing - p-Values _ DSE210x Courseware _ edX.pdf		Hypothesis Testing - p-Values _ 13.2 Hypothesis Testing - p-Values _ DSE210x Courseware _ edX.pdf
Hypothesis Testing _ 13.1 Hypothesis Test - Introduction _ DSE210x Courseware _ edX.pdf		Hypothesis Testing _ 13.1 Hypothesis Test - Introduction _ DSE210x Courseware _ edX.pdf
Independence _ 6.2 Independence _ DSE210x Courseware _ edX.pdf		Independence _ 6.2 Independence _ DSE210x Courseware _ edX.pdf
Inequalities _ 5.7 Inequalities _ DSE210x Courseware _ edX.pdf		Inequalities _ 5.7 Inequalities _ DSE210x Courseware _ edX.pdf
Introduction to Probability _ 5.1 Probability _ DSE210x Courseware _ edX.pdf		Introduction to Probability _ 5.1 Probability _ DSE210x Courseware _ edX.pdf
Linear Regression _ 12.4 Linear Regression _ DSE210x Courseware _ edX.pdf		Linear Regression _ 12.4 Linear Regression _ DSE210x Courseware _ edX.pdf
Linearity of Expectations _ 7.8 Linearity of Expectations _ DSE210x Courseware _ edX.pdf		Linearity of Expectations _ 7.8 Linearity of Expectations _ DSE210x Courseware _ edX.pdf
Markov's Inequality _ 10.1 Markov Inequality _ DSE210x Courseware _ edX.pdf		Markov's Inequality _ 10.1 Markov Inequality _ DSE210x Courseware _ edX.pdf
Mean and Variance _ 11.2 Mean and Variance Estimation _ DSE210x Courseware _ edX.pdf		Mean and Variance _ 11.2 Mean and Variance Estimation _ DSE210x Courseware _ edX.pdf
Moment Generating _ 10.4 Moment Generating Functions _ DSE210x Courseware _ edX.pdf		Moment Generating _ 10.4 Moment Generating Functions _ DSE210x Courseware _ edX.pdf
Multinomial Coefficients _ 4.7 Multinomials _ DSE210x Courseware _ edX.pdf		Multinomial Coefficients _ 4.7 Multinomials _ DSE210x Courseware _ edX.pdf
Normal Distribution _ 9.5 Gaussian Distribution _ DSE210x Courseware _ edX.pdf		Normal Distribution _ 9.5 Gaussian Distribution _ DSE210x Courseware _ edX.pdf
Partial Permutations _ 4.2 Partial Permutations _ DSE210x Courseware _ edX.pdf		Partial Permutations _ 4.2 Partial Permutations _ DSE210x Courseware _ edX.pdf
Permutations _ 4.1 Permutations _ DSE210x Courseware _ edX.pdf		Permutations _ 4.1 Permutations _ DSE210x Courseware _ edX.pdf
Poisson _ 8.3 Poisson Distribution _ DSE210x Courseware _ edX.pdf		Poisson _ 8.3 Poisson Distribution _ DSE210x Courseware _ edX.pdf
Practice Final Exam _ Preparing for the Final Exam _ DSE210x Courseware _ edX.pdf		Practice Final Exam _ Preparing for the Final Exam _ DSE210x Courseware _ edX.pdf
Properties of Binomial Coefficient _ 4.5 Properties of Binomial Coefficient _ DSE210x Courseware _ edX.pdf		Properties of Binomial Coefficient _ 4.5 Properties of Binomial Coefficient _ DSE210x Courseware _ edX.pdf
README.md		README.md
Random Variables _ 7.1 Random Variables _ DSE210x Courseware _ edX.pdf		Random Variables _ 7.1 Random Variables _ DSE210x Courseware _ edX.pdf
Repeated Experiments _ 5.4 Repeated Experiments _ DSE210x Courseware _ edX.pdf		Repeated Experiments _ 5.4 Repeated Experiments _ DSE210x Courseware _ edX.pdf
Sequential Probability _ 6.3 Sequential Probability _ DSE210x Courseware _ edX.pdf		Sequential Probability _ 6.3 Sequential Probability _ DSE210x Courseware _ edX.pdf
Set Size _ 3.1 Counting _ DSE210x Courseware _ edX.pdf		Set Size _ 3.1 Counting _ DSE210x Courseware _ edX.pdf
Sigma Unknown _ 11.7 Confidence Interval - Sigma Unknown _ DSE210x Courseware _ edX.pdf		Sigma Unknown _ 11.7 Confidence Interval - Sigma Unknown _ DSE210x Courseware _ edX.pdf
Stars and Bars _ 4.8 Stars and Bars _ DSE210x Courseware _ edX.pdf		Stars and Bars _ 4.8 Stars and Bars _ DSE210x Courseware _ edX.pdf
Stats _ 11.1 Statistics _ DSE210x Courseware _ edX.pdf		Stats _ 11.1 Statistics _ DSE210x Courseware _ edX.pdf
The binomial Theorem _ 4.6 Binomial Theorem _ DSE210x Courseware _ edX.pdf		The binomial Theorem _ 4.6 Binomial Theorem _ DSE210x Courseware _ edX.pdf
Total Probability _ 6.4 Total Probability _ DSE210x Courseware _ edX.pdf		Total Probability _ 6.4 Total Probability _ DSE210x Courseware _ edX.pdf
Two Variables _ 7.7 Two Variables _ DSE210x Courseware _ edX.pdf		Two Variables _ 7.7 Two Variables _ DSE210x Courseware _ edX.pdf
Unbiased Estimation _ 11.4 Unbiased Variance Estimation _ DSE210x Courseware _ edX.pdf		Unbiased Estimation _ 11.4 Unbiased Variance Estimation _ DSE210x Courseware _ edX.pdf
Uniform Distribution _ 9.3 Uniform Distribution _ DSE210x Courseware _ edX.pdf		Uniform Distribution _ 9.3 Uniform Distribution _ DSE210x Courseware _ edX.pdf
Variance Estimation _ 11.3 Variance Estimation _ DSE210x Courseware _ edX.pdf		Variance Estimation _ 11.3 Variance Estimation _ DSE210x Courseware _ edX.pdf
Variance _ 7.6 Variance _ DSE210x Courseware _ edX.pdf		Variance _ 7.6 Variance _ DSE210x Courseware _ edX.pdf
Weak Law of Large Numbers _ 10.3 Law of Large Numbers _ DSE210x Courseware _ edX.pdf		Weak Law of Large Numbers _ 10.3 Law of Large Numbers _ DSE210x Courseware _ edX.pdf
_config.yml		_config.yml

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