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Preview of IB physics: A.0 - Error Analysis

IB physics: A.0 - Error Analysis

This lesson describes the data analysis essential for IB physics Paper 1B and the Internal Assessment. It has 2 sections: The first covers random & systematic errors, error estimation & propagation. This includes the standard formulae used by IB for functions with sums & differences, products & division, and powers. It also describes how to deal with more complex functions such as the trigonometric operators. The second deals with straight line fitting and how to extract error estimates from th
Preview of Project Red Haven: Mars Colony Finance Simulation

Project Red Haven: Mars Colony Finance Simulation

Created by
Josh Deakin
Project Red Haven: Mars Colony Finance Simulation Subject Area: Personal Finance, Economics, STEM Integration Grade Level: 9–12 (Adaptable for Middle School) Duration: 7–10 Class Days Overview: In this immersive simulation, students act as members of a NASA-backed Mars colony team responsible for building and sustaining a human settlement on the Red Planet. Through budgeting, decision-making, and financial problem-solving, they learn key personal finance principles such as budgeting, saving, in
Preview of States of Matter PowerPoint & Balloon Experiment | Solid Liquid Gas Science

States of Matter PowerPoint & Balloon Experiment | Solid Liquid Gas Science

Engage your students with this hands-on States of Matter lesson featuring a fun balloon experiment and clear, student-friendly , animated PowerPoint! This resource helps students explore solids, liquids, and gases through visual learning, discussion, and an exciting chemical reaction. Perfect for busy classrooms, this low-prep science resource makes abstract concepts easy to understand while keeping students actively involved. What’s Included: ✔ Animated States of Matter PowerPoint ✔ Cl
Preview of Practical Straight Line Fitting

Practical Straight Line Fitting

This lesson is a practical guide to fitting straight lines to data points with error bars. It explains how to determine the error on the fit so that the experimental result has an associated error. It is NOT a mathematical explanation of least squares minimization but a guide intended for high school students with experimental data. It discusses both linear and log plots. It is based on a simple treatment of so-called "maximal" errors typically used in high school. In this context it is generall
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