AAI 500 - Probability and Statistics

aai-500-statistics.md

Text Book: _Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

Probability and Statistics for AI

Module 1: Descriptive Statistics and Data Collection

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 1

  • Python-Web-Appendix of Foundations of Statistics for Data Scientists
    • B1.1-B1.5 (pages 5-12)

• Textbook Datasets

• Read the Ethics in Statistical Practice and Communication: Five Recommendations article.

• Review and practice A Comprehensive Introduction to Python Programming

Recommended reading

• American Psychological Association. (2020). Publication Manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

Module 2: Probability Distributions

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 2

• Python-Web-Appendix of Foundations of Statistics for Data Scientists

  • B2.1 - B2.4.3 (pages 13-21)

• Textbook Datasets Links

• Read the Survival Prediction of Patients with Sepsis from Age, Sex, and Septic Episode Number Alone article.

Module 3: Sampling Distributions and Simulations

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 3

• Python-Web-Appendix of Foundations of Statistics for Data Scientists

  • B3.1 - 3.2 (pages 23-24)

• Textbook Datasets Links

• Read theSampling Distributions and the Bootstrap article.

Module 4: Inferential Statistics I

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 4

• Python-Web-Appendix of Foundations of Statistics for Data Scientists

  • B4.1 - 4.2 (pages 25-26)

• Textbook Datasets Links

Module 5: Inferential Statistics II

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 5

• Python-Web-Appendix of Foundations of Statistics for Data Scientists

  • B5.1 - 5.7 (pages 31-37)

• Textbook Datasets Links

• Read the The role of statistical significance testing in public law and health risk assessment article

Module 6: Generalized Linear Models

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 6

• Python-Web-Appendix of Foundations of Statistics for Data Scientists

  • B6.1 - 6.6 (pages 39-57)

• Textbook Datasets Links

• Read the Four Assumptions of Multiple Regression That Researchers Should Always Test article.

Module 7: Classification, Clustering, and Linear Algebra

_Agresti, A. & Kateri, M. (2022). Foundation of statistics for data scientists: With R and Python. CRC Press.

• Chapter 8

• Python-Web-Appendix of Foundations of Statistics for Data Scientists

  • B8.1 - 8.3 (pages 67-74)

• Textbook Datasets Links