https://colab.research.google.com/drive/1TMkYnORoW...
Detailed instructions and problems are in the Jupyter Notebook (ipynb file). Download it.
- Solve all the problems and show your work in the spaces provided under all questions.
- You must solve all questions in the ipynb file using Jupyter Notebook or Colab.
- Make the PDF of the notebook file or (Colab) and upload the PDF as a Primary Source.
- The ipynb file must be uploaded as a Zip File in the Secondary Source.
- You'll need to be able to show excellence in using the tools covered in this course, ICS-214.
- Answers purely based on ChatGPT prompts will be strongly discouraged and subject to a 0 score.
LOs: #Distributions, #Probability, #ParameterEstimation, #CompTools, #MathTools, #Professionalism
Assignment Information
Weight:15%
Learning Outcomes Added
- Professionalism: Ensure that your communication follows established guidelines and use a careful editing process.
- Distributions: Identify different types of distributions and make inferences based on samples from distributions appropriately.
- Probability: Apply and interpret fundamental concepts of probability, including conditional and bayesian probabilities.
- ParameterEstimation: Apply appropriate statistical theory and methods to determine which parameter values generated observed data.
- CompTools: Use appropriate computational tools to solve problems in Probability and Statistics.
- MathTools: Use appropriate mathematical notation (including DAGs) and tools to solve problems in Probability and Statistics.