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📚 Python for Introductory Statistics: Lab Workbook
Chapters ▾
1. Introduction to Python2. Python List3. Python Syntax4. Python Loops5. Frequency Distributions and Graphs6. Measure of Center and Variation7. Measures of Position8 Discrete Probability Distributions9. Continuous Probability DistributionConfidence Intervals11. Hypothesis Testing12. Linear Regression and Correlation13. Analysis of Categorical Data14. Advanced Statistics TopicsLab AnswersReferencesAppendix 1Appendix 2: Random Integer GeneratorAppendix 3: FactorialsResources

1. Introduction to Python

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Title graphic: Python for Introductory Statistics — Lab Workbook, Mathematics Department, Fall 2021, Google Colab Edition.

Student's Lab Workbook: A companion to Python for Introductory Statistics

Questions, comments or errors can be reported by sending an email to saman2@ccc.edu. A link to an interactive Colab version of this document can be found in this interactive Colab workbook.

Keyboard Shortcut for HTML (Weblink) and PDF Users: When you click an external link and want to return to where you were before the click, use Alt + Left Arrow on Windows and Command + Left Arrow on Mac.

© 2021 Simon Aman, City Colleges of Chicago. Special thanks to reviewers, Professor Phil Yates of DePaul University and Professor Aman Ghebremicael of Arizona Western College.

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Python is a general-purpose simple-syntax programming language created by Guido van Rossum in 1989. It is used in scientific computing, data science, web development, software development, artificial intelligence, machine learning etc.

Adapted from Python for Introductory Statistics: Student's Lab Workbook, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.