Physics IA

Ideas  .:. IA Rubrics .:. IA Example .:. IA Checklist .:. IA Specifics.pdf 

Paper:

• Introduction

• Method

• Results 

  • Data Table .:. Average and Uncertainty and Error Bars .:. Linearization .:. Max and Min Slope 

Remember -

• If your data is linear, you should do Max and Min Slope if you can, or you can use the LINEST function in Google sheets to find an uncertainty of a slope.

• If your data is possibly a power function, you are going to do a log log graph and linearize it as described here:  Linearization

• If your data is exponential, go here: Linearization  and scroll down to the part about Exponyential functions.

• If your data is curved, but not a power function, we can try to model it.  This is where we try to use physics to come up with a mathematical model, and put it in a spreadsheet formula.  We can tweak the parameters, and see if we can get it to model the shape of the data we get.  This would be like the lift of a hot air balloon, or a trebuchet range.

• Conclusion and Evaluation

Here are links to Excellent work from TuHS Students:

2022: Hannah Figueroa-Velazquez's research on the period of a pendulum

2022: Paige Lawton's research on Solenoid Current and Magnetic Repulsion

2019: Max Siebersma's research on modeling water flowing from a bucket

2018: Tegan Johnson's research on the effect of wire tension on regelation time

2018: Madi Lowry's research into the effect of height on running cadence

2016: Lyubo Gankov's research on the effect of pressure on the muzzle velocity of an air cannon