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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

Appendix 1

Python Computer Installation

If you prefer not to use Google Colab Notebook, you can install free Python in your computer and use the Anaconda Jupyter Notebook. Go to this website and select Windows, MacOS or Linux, depending on your computer. When the installation is completed, open jupyter Notebook(anaconda3) from the Anaconda folder on your computer. You can also watch YouTube videos on how to install Anaconda for Windows 10 or MacOS.

Open Jupyter Notebook from your Windows computer Start menu under Anaconda and click new. You can add new code-cell or text-cell by clicking + and code (see pictures below). You can run a code-cell by clicking *run*.

Jupyter Notebook home page screenshot: the Files tab with the New menu open and Python 3 highlighted under Notebook.
Jupyter Notebook screenshot: a code cell containing print('Hello, World') with the add-cell (+), Run button and Code cell-type selector highlighted in the toolbar.

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.