Central-Limit-Theorem-using-Simulations
所属分类：数值算法/人工智能
开发工具：Jupyter Notebook
文件大小：0KB
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上传日期：2023-08-03 01:38:41
上 传 者：
sh-1993
说明： 使用模拟的中心极限定理，，
(Central-Limit-Theorem-using-Simulations,,)
文件列表:
ECS301_CLT_Jemish_18114.ipynb (61275, 2023-08-02)
ECS301_CLT_Jemish_18114_python.py (4439, 2023-08-02)
ECS301_Project_Jemish_18114.pdf (403569, 2023-08-02)
Jemish_18114_python_code.pdf (1808016, 2023-08-02)
# Central-Limit-Theorem-using-Simulations
Developed a Python program-based simulation to demonstrate the Central Limit Theorem (CLT).
Simulation generates populations with random distributions. Then it creates multiple random samples from
the population.
Simulation shows the sample mean converges to the population mean with an increase in sample size.
It is helpful to understand the CLT. It is also useful to predict population means from a large sample.
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