Statistics on customs

Week 5

Random variables

1. Random variables and their distribution: Theory [1:20 - 1:40 h]

1.1. Random variables and distribution definition [20 - 25 min]*

The formal definition of a random variable

1.2. Creating discrete random variables [10 - 15 min]*

Gives a detailed step-by-step procedure of how to compute a random variable

1.3. Uniform, Binomial, and Normal distributions [15 - 20 min]*

Show how to obtain some discrete and continous distributions: Uniform, Binomial, and Normal.

1.4. From Binomial to Normal: Practice [35-40 min]*

Computing distributions probability using Python.

2. Random variables and their distribution: Practice [1:20 - 1:40 h]

2.1. From Bernoulli to Binomial: Galton Board [30-35 min]

Computing probability using Galton Board game.

2.2. Simulating with Python: Galton Board [10-15 min]

Computing probability using Galton Board game.

2.3. Central Limit Theorem [15-20 min]

Computing probability to verify CLT.

2.4. Bimodal distributions and GMM [25-30 min]

Using GMM to find Bimodal distributions.

3. Random variables and their distribution: Practice [0:35 - 0:40 h]

Using Python to apply GMM on INTTRA

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