Simulation basics

Simulasi Statistik di Python

Tushar Shanker

Data Scientist

Simulations

Framework for modeling real-world events.

  • Characterized by repeated random sampling.
Simulasi Statistik di Python

Simulations

Framework for modeling real-world events.

  • Characterized by repeated random sampling.
  • Gives us an approximate solution.
Simulasi Statistik di Python

Simulations

Framework for modeling real-world events.

  • Characterized by repeated random sampling.
  • Gives us an approximate solution.
  • Can help solve complex problems.
Simulasi Statistik di Python

Simulation steps

  1. Define possible outcomes for random variables.
  2. Assign probabilities.
  3. Define relationships between random variables.
Simulasi Statistik di Python

Simulation steps

  1. Define possible outcomes for random variables.
  2. Assign probabilities.
  3. Define relationships between random variables.
  4. Get multiple outcomes by repeated random sampling.
  5. Analyze sample outcomes.
Simulasi Statistik di Python

Simulating the dice game

Dice Game Simulation

Simulasi Statistik di Python

Simulating the dice game

Dice Game Simulation

Simulasi Statistik di Python

Simulating the dice game

Dice Game Simulation

Simulasi Statistik di Python

Let's practice!

Simulasi Statistik di Python

Preparing Video For Download...