#normal distribution
70 messages · Page 1 of 1 (latest)
yo so
do you know how to like
transform normal random variables
like what happens if you add or multiply normal varaibles
ok so with normal random variables
you know what the 2 numbers mean in the brackets
the N(a, b) the a and b
@tough idol
awesome so if you imagine
lets just say for example its N(5, 36) just to give numbers
if you imagine subtracting 3 off this random variable
do you see how thatll be the same as just
a normal but with a mean thats 3 lower
aka N(2, 36)
and if you instead multiply by a number
say multiply by 2
thatll be the same as a new normal but with a mean thats twice as big, but also a standard deviation thats twice as big
because everything doubles, so the average distance apart also doubles
close
36 is the standard deviation squared
actually yeah i said that wrong earlier
its the s.d. squared so 36 means s.d. is 6
so your new normal will be N(10, 144) instead
yep
make sense?
awesome so
with your question we have N(u, u^2/9)
and want P(N(u, u^2/9) > 1.5u)
now can we use some of the ideas about
adding and multiplying (or subtracitng and dividing)
to turn this N(u, u^2/9) into a nicer one
maybe one without u
yep sure
yeah so whats your reasoning for that
yep cool
note that you can multiply by 3 instead
(remmeber its squared for the 2nd number)
so what would the new normal be
if you multiplied it by 3
u^2 for the 2nd but yep
dw its cool
but yep ok
how about getting rid of the u it looks kinda annoying
what could we do for that
either
well preferably both
theyre both a problem
awesome yeah
so what would the new normal be now
perfect
now im gonna keep us with that because
N(3, 1) we can actually kinda work with right
its just numbers
now if we look at out
P(Y > 1.5u)
well what did we do to Y to simplify it
yep and also
yep so
if we turn Y to N(3,1)
we should really do the same to the other side of the inequality right
awesome
so what will the 1.5u become
awesome so now the question is
P( N(3, 1) > 4.5)
which is kinda the same question as your first question
yep!
no worries at all 😄
now you just gotta remmeber it!