Fundamental Units:
Units that are basic like meters, seconds, and kg

Derived Units:
Units that are made up of multiple fundamental units like velocity which is m/s

Dimensional Analysis:
Looking at what dimensions aka [length], [time], [mass] are in an equation, and see if they are all the same or cancel out.

Scalars:
Just a number.
Time, mass, energy work, power, temp, pressure.

Vectors:
A number with a direction.
Displacement, velocity, acc, force, momentum, torque.

Significant-Figures:
Numbers that matter, AKA anything that can’t be removed in scientific notation.

The answer will have the same amount of decimals as the number with the LOWEST amount of decimals.
2.347 + 1.56 = 3.907 = 3.91

Multiplication and Division:
The answer will have the same amount of sig-figs as the number with the LOWEST amount of sig-figs
2.347 * 1.56 = 3.66132 = 3.66
(Conversion factors NEVER change num of sig-figs)

Accuracy:
How close the measured values are to the TRUE value

Precision:
How close are the measured values to each other, like are they all similar, or are they very different.
ALSO how reproducible it is.

Systemic Error:
The instrument is miscalibrated or the entire experiment is just wrong

Noise Error:
You get the right answer, but each measured value is completely different.

Absolute Uncertainty:
The plain uncertainty that you get is like “dA = 0.1 m”.
This can be good for some things, but not for others, like 0.1m is good for the height of skyscrapers, but NOT for surgery.

Relative Uncertainty (percentage):
The relative percentage of what the measurement is, like how much does it stray from the actual value.
Low = Good