IB PHYSICS HL // Topic 1

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41 Terms

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kilo

10^3

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mega

10^6

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giga

10^9

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milli

10^-3

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micro

10^-6

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nano

10^-9

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dimensional analysis

Solving the equation to see if units on both sides of the equation match (can only tell if wrong)

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systematic error

biases readings in a direction (always bigger/smaller);
causes inaccuracy;
can't be minimized

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random error

fluctuations in readings that vary in direction each time;
causes imprecision;
minimized by averaging related trials

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uncertainty

analogue: ± 1/2 of smallest division
digital: ± 1 of last digit shown
round to 1 sig fig

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accuracy

how close measurement is to true value

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precision

how close values are to each other

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7 fundamental si units

time (s); length: (m); mass (kg); temp. (k) kelvin; quantity of matter (mol); electric current (A); luminous intensity (cd) candela

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Derived Units

units that are combinations of fundamental units. These combinations may or may not have a separate name. (eg. 1 kg m/s2 = 1 N)

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absolute uncertainty

just the original uncertainty

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fractional (or relative) uncertainty

absolute uncertainty/measurement

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percentage uncertainty

fractional uncertainty × 100

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significant figures

digits with physical meaning

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sig fig rules

1. all non zeros are significant.
2. 0s btwn sig figs are significant.
3. Ending zeros on right side of decimal are significant.

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directly proportional

y=kx (positive straight line)

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inversely proportional

y=k/x (negative curve)

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exponential

y=k^x (positive curve)

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scalar

has magnitude

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vector

has magnitude + direction

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equal vectors

same magnitude and direction

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parallel vectors

vectors with same direction

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opposite vectors

same magnitude, opposite direction

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resultant vector

the vector sum of two or more vectors

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adding vectors

tip to tail

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subtracting vectors

A-B=A+(-B)

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denotating direction

Y(angle)X
N/S(angle)E/W

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Component Method

Using the x- and y- directions of motion to determine an overall vector

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how to plot graphs

title
axes
scales
data points
best fit line

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how can systematic error effect accuracy?

shifts graph horizontally/vertically

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how can random error effect precision?

creates noise in data that deviates points from avrg

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+/- UNCERTAINTIES

just add absolute uncertainties

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×/÷ UNCERTAINTIES

add fractional uncertainties together multiplied by final measurement

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how to find best fit line?

1. draw max + min lines that go thru all error bars.
2. calculate max + min slopes and y-intercept.
3. calculate absolute uncertainty with the range divided by 2

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how to linearize a graph

arrange the equation with one variable on the left of the equal sign, everything else on the right.
Everything on the left is the vertical axis; your variable on the right is the horizontal axis; everything else is a coefficient that equal the slope.
Example: v^2 = (k/m) x^2
plot v^2 vs. x^2 to create a linear graph; (k/m) equals the slope of the line

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Orders of Magnitude

rounding a number to the nearest power of 10
(ex: 275 has an order of magnitude of 10^2)

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error bars

creates a zone of uncertainty; shows the uncertainty in measurement for a graph