Students learn about quantitatively comparing uncertain measurements through simple Colab programming.
This homework assignment introduces students to ideas about quantitatively comparing two uncertain measurements. The tutorial leverages worked-examples to introduce students to how to calculate the t' index and explores how to interpret this quantity in the context of experimental measurements. Students respond to questions in Markdown and run (and edit) Python Code Cells to view distributions and calculate quantities.
Students should be able to compare pairs of measurements by determining the degree to which uncertain measurements are statistically distinguishable.
Experimentation Goals
These experimentation goals are most strongly represented in the explicit learning goals described above:
Student Decision Making
In this lab, students have the opportunity to:
Discovery
Determine results previously known to:
Duration
30 minutes
Equipment Required
Implementation Tips
This works as a brief homework assignment or a pre-cursor to a lab activity. It is written in the context of a pendulum activity.
How This Fits in Your Course
This is a great second homework for a course following instruction about quantifying sources of uncertainty.
Tutorial 2_ Distinguishability.ipynb - Colab.pdf
HomeworkPre-lab Assignment203 KBPDF of Colab-based Homework tutorial about quantitatively comparing uncertain measurements with t'
Tutorial 2_ Distinguishability.ipynb
17 KBColab-based Homework tutorial about quantitatively comparing uncertain measurements with t'
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Natasha Holmes
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