Syllabus and Overview of the Lab

Copyright, Licenses & Sources

About the cover image

Understanding Uncertainty and Error Propagation Including Monte Carlo Techniques

Introduction to Uncertainty and Error Propagation Lab

Key Statistics Terms

Data Collection

Introduction to Statistical vs. Systematic Uncertainty

Numbers without Uncertainty

Review of Significant Figures

Mean and Median

How to write numbers - significant figures

Percent Uncertainty

The Normal Distribution and Standard Deviation

Finding Mean and Standard Deviation in Google Sheets

Start Calculating Volume

Introduction to Monte Carlo Methods

Monte Carlo Error Propagation

Monte Carlo Simulation in Google Sheets

Measuring the volume in a different way

Planning Experiments, Making Graphs, and Ordinary Least Squares Fitting

Introduction to the Lab

Introduction to Fields

Review of the Types of Graphs

Sketch of Procedure to Measure g by Dropping

When do I have enough data? Also, fixed references ($) in spreadsheets.

Spreadsheet Template

Making (Good) Graphs

Scatterplot in Plotly Tutorial

Linearizing Data with Algebra

A brief overview of Slope and it's units

Overview of Least Squares Method

Calculating and Graphing the Best Fit Line

Plotting a fit line

Improving Experiments and Incorporating Uncertainties into Fits

Recap the last lab

Point of this lab

Build an uncertainty calculator

Incorporating Uncertainties into Least Squares Fitting

Linearizing with Logarithms

Introduction to Linearizing with Logarithms

The goal of this lab and some terminology

Procedure

First: Some Observations

Creating a workbook with multiple pages and determining how many trials

Determining the number of oscillations

Determining how many lengths and setting up your raw data table

Properties of Logarithms

Propagating Uncertainties through the Logarithms

Making a Summary Table

Weighting logarithmic data

Finally Ready To Fit

More Practice Improving Experiments and Statistical Tests

Introduction to Statistical Tests Lab

Determining the Uncertainty on the Intercept of a Fit

Measuring g Using the Pendulum Data

z-Tests

t-Tests

Interpreting p-values

The Role of Skepticism

Using What you Know to Understand COVID-19

Introduction to COVID-19 Lab

What is R_0?

The Data

Linearizing the COVID-19 Data

Uncertainty for natural logarithms

Looking at the logarithmic plot

Understanding Exponential Growth

Connecting K and R0

Glossary

Fall 2020 Syllabus

Physics 132 Lab Manual by Brokk Toggerson and Aidan Philbin is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.