ECON 221 • Introduction to Probability and Statistics I • Final

Bernoulli Distribution Part 1

Bernoulli Distribution Part 2

Example 1

Example 2

Binomial Distribution Part 1

Binomial Distribution Part 2

Example 3

Example 4

Poisson Distribution Part 1

Poisson Distribution Part 2

Example 5

Example 6

Poisson Approximation to Binomial Distribution

Example 7

Normal Approximation to Binomial Distribution

Example 9

Discrete Uniform Distribution Part 1

Discrete Uniform Distribution Part 2

Example 1

Example 2

Geometric Distribution Part 1

Geometric Distribution Part 2

Example 3

Example 4

Negative Binomial Distribution Part 1

Negative Binomial Distribution Part 2

Example 5

Example 6

Binomial Distribution 1

Binomial Distribution 2

Binomial Distribution 3

Poisson distribution 1

Poisson Distribution 2

Poisson Distribution 3

Poisson distribution 4

Discrete Uniform Distribution

Negative Binomial Distribution 1

Negative Binomial - Geometric Distribution

Probability Density Function - PDF

Example 1

Cumulative Distribution Function - CDF

Example 2

Expected Value

Expected Value - Example 1

Expected Value - Example 2

Variance

Variance - Example 1

Continuous Random Variable 1

Continuous Random Variable 2

Continuous Random Variable 3

Continuous Random Variable 4

Continuous Random Variable 5 - Expected Value

Continuous Random Variable 6 - Expected Value

Continuous Random Variable 7 - Variance

Continous Random Variable 8 - Expected Value

Uniform Distribution

Example 1

Example 2

Exponential Distribution

Example 3

Example 4

Memoryless Property

Example 5

Normal Distribution

Standard Normal Distribution

Reading Z Table - Option 1

Reading Z Table - Option 2

Example 6

Continuous Uniform Distribution

Normal Distribution 1

Normal Distribution 2

Normal Distribution 3

Normal Distribution 4

Normal Distribution 5

Normal Distribution 6

Normal Distribution 7

Exponential Distribution 1

Exponential Distribution 2

Exponential Distribution 3

Z Table

T Table

Chi Square Table

Markov's Inequality

Proof of Markov's Inequality

Example 1

Chebyshev's Inequality

Example 2

Sample Mean

Sample Variance

Example 3

Law of Large Numbers

Central Limit Theorem

Example 1

Example 2

Example 3

Example 4

Example 5

Normal Approximation to Binomial Distribution

Normal Approximation to Poisson Distribution

Z Distribution

Example

Chi Square Distribution

Example

T Distribution

Example 1

Example 2

Chapter Summary

Chebyshev's Theorem 1

Chebyshev's Theorem 2

Sample Mean and Variance 1

Sample Mean and Variance 2

Central Limit Theorem 1

Central Limit Theorem 2

Central Limit Theorem 3

Normal Approximation to Binomial 1

Normal Approximation to Binomial 2

Sampling Distribution 1

Sampling Distribution 2 - Chi Square Distribution

Sampling Distribution 3 - Chi Square Distribution

Sampling Distribution 4 - Chi Square Distribution

Sampling Distribution 5 - T Distribution

Sampling Distribution 6 - T Distribution

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

Question 12

Question 13

Question 14

Question 15

Question 16

Question 17

Question 18

Binomial Distribution 1

Binomial Distribution 2

Binomial Distribution 3

Poisson Distribution 1

Poisson Distribution 2

Poisson Approximation to Binomial Distribution 1

Geometric Distribution 1

Geometric Distribution 2

Uniform Distribution 1

Uniform Distribution 2

Exponential Distribution 1

Exponential Distribution 2

Normal Distribution 1

Normal Distribution 2

Normal Distribution 3

Normal Distribution 4

Normal Distribution 5

Sampling Distribution 1

Sampling Distribution 2

Sampling Distribution 3

Sampling Distribution 4

Sampling Distribution 5

Sampling Distribution 6