Trial
Experiment
outcome
sample
space
mutually
exclusive
event
event
complementary
event
i
ndependent
event i
ndependent
trials
rand,
randi,
randn,
randperm,
rng
pseudorandon
number
Bernoulli
distribution,
Binomial
distribution
different
run
gives
different
results
The
variability
reduces
as
numReps
increases
random
experiment
Skeleton
Stochastic
Simulation
characteristic
Summary
of
Week3
Key
idea:
understand
probability
as
long
run
frequence
continuous
random
variable
discrete
random
variable
probability
mass
function
Random
variable
expectation
l
inear
not
linear
variance
i
ndependent
random
variables
definition:
functions
of
random
variables
standard
deviation
accurate
properties
precise
unbiased
Statistics
sample
means
sample
proportion
sample
variable
speical
case
examples
i
f
we
know
mean,
we
know
variance
confidence
interval
central
limit
theorem
sample
means
are
approximates
normal
disribution
confidence
interval