Extra Activity-5

Fit for Distribution of Data

You need to create a Google Colab notebook with:

1. Histogram for the data.
   
   

2. Fit one of the known distributions to the data.
   
   

3. Calculate method of moments estimate and ML estimate for the unknown parameter(s) of the selected distribution.
   
   

4. Use the bootstrap method to form approximate confidence intervals for the parameters, if applicable.
   
   

We have used Google Colab to perform Monte Carlo simulation.

Link to Dataset: https://docs.google.com/spreadsheets/d/1mpExcNnWBvhGd7xr78uODZ9sWIDjKMdZqrSjVIQRf9g/edit?usp=sharing

Link to Document: https://docs.google.com/document/d/18uVtOXPcI1PSZL0WbWyTw1UHxu5sVExWoEJFUnXtOzA/edit?usp=sharing

Link to  Colab file: https://colab.research.google.com/drive/1674yRhK-rzp7od8xzsQhPD0Poo0oE0fE?usp=sharing

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