Site Home Page Notebook Collection Syllabus Fall 2020 JupyterHub (@atomickitty.aws)

Interval Estimates (Continued)

Interval estimates for some statistics constructed from binomial distribution and by Bootstrapping

Lesson 18 PowerPoint (and PDF) files developed by ENGR-1330 team for Lesson

Lesson 18 JupyterLab source (and .html) files developed from original source files

Laboratory 18 JupyterLab ( as .ipynb and .html) files developed from original source files.
CoCalc free will not run the URL retrieval parts of the notebooks, the needed files are stored locally on this content server; you need to download these and the .png files for the notebooks to work the examples; remember to comment out any automated URL retrieve portions for the notebooks.

Reading Collection Local to thi s erver

Computational and Inferential Thinking Ani Adhikari and John DeNero, Computational and Inferential Thinking, The Foundations of Data Science, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND)

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