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Sample
small subset of a population
parameter
numerical summary/measure of population
Statistic
a measure describing the sample data
μ
population mean
σ
Population standard deviation
x̄
sample mean and infers u
s
S is sample standard deviation and infers a
central limit theorem
the mean of all sample means is equal to population mean. same goes for standard deviation but square sample deviation. large sample size the mean looks like a bell curve. The standard deviation of the sample means, σx̄ , is given by: (σ/√n)
assigning uncertainty (δx̄) to a sample mean
δx̄ = (s/√n)
The uncertainty of the sample is written as x̄ ± (s/√n)
example: 1.77 ± 0.02
T-test
used to determine if two sample data sets are significant
if T is greater or equal to 3
the two sample data sets are distinguishable
if t' is less than or equal to 3
The two sample data sets are indistinguishable
period of a pendulum
The time required for one complete oscillation
strategies to build a simplified model
Identify variables that might affect the system
Make simplifying assumptions to reduce the complexity of the model ex. no air resistance
make sure the parameters used in the physical model are consistent with the "dimensions" of the system we are trying to describe.
T = 2𝜋√(l/g) simplified
paper
Period of a Pendulum Assumptions
only forces are gravity and tension, the initial angle is small, the pendulum sting is massless, and the bob behaves as a point mass. the period of a pendulum does not depend on the mass of the bob or angle of amplitude.
coefficient of restitution (e)
ratio of speed after collision to the spreed before collision. 1 means no energy lost while 0 means all energy lost
Vout
√h2 and is height of second bounce
Vin
√h1 height of first bounce
Vin in terms of h1
vin=√(2g(h1))
Vout in terms of h2
vout = √(2g(h2))
derived from 3rd kinematic equation because there's no t value