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An Introduction to Python Jupyter Notebooks for College Math Teachers

1. PREFACE
2. PRE-COLLEGE - Wheaton College Team
3. PYTHON PROGRAMMING GUIDE - Thomas VanDrunen, Yiheng Liang
4. EXPLORATORY DATA ANALYSIS - Jonathan Zhu
5. PROBABILITY - Laura Gross, Yiheng Liang
6. STATISTICAL INFERENCE - Peter Jantsch, Claire Wagner
7. APPLIED CALCULUS FOR DAILY LIFE - Wheaton College Team
8. CALCULUS - Inne Singgih
9. LINEAR ALGEBRA - Soheil Anbouhi
10. LINEAR ALGEBRA AND OPTIMIZATION FOR DATA ANALYSIS - Wheaton College Team
11. DIFFERENTIAL EQUATIONS - Rachel Petrik
12. DIFFERENTIAL EQUATIONS FOR THE BENEFIT OF SOCIETY - Wheaton College Team
13. COMPLEX VARIABLES IN GROUNDWATER MODELING - Wheaton College Team
14. ADVANCED DATA ANALYSIS - Jonathan Zhu, Claire Wagner, Ying Li
15. COMPLEX SYSTEMS - Wheaton College Team
Index

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STATISTICAL INFERENCE - Peter Jantsch, Claire Wagner

6. STATISTICAL INFERENCE - Peter Jantsch, Claire Wagner#

Note

Peter Jantsch and Claire Wagner will cover the basics of statistical inference.

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5.11. JNB Lab Solutions

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6.1. Introduction

By Paul Isihara, Claire Wagner, Peter Jantsch, and Thomas VanDrunen, Editors

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Except where otherwise noted, this work is licensed under a Creative Commons Attribution 4.0 International License.