程序代写代做代考 Trial

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