[This is misleading, since the probability is never 0, although it can be vanishingly small compared to the probability of 1 event. ]
"Mathman", I don't really understand what do you mean since it's different way of explanation from "statdad".
Can you explain some more? thx..
The explanation for the Poisson distribution in reference book is "
when given an interval of real number, assume events occur at random throughout the interval. If the interval can be partitioned into subintervals of small enough length such that
1. the probability of more than 1 event in a...
hi..
may i ask what is the relationship(formula) between the viscous friction and the frequency?
if i know the value of k(spring constant), M(mass), and f(frequency), am i able to find out friction coefficient, b?
why sometime we need to reverse the order of integration?
and how to determine the new limit?
for example: for integration of dydx, the limit of y and x:
y=2x , y=2;
0<=x<=1.
after we reverse the order become dxdy, how to determine the new limit of x and y?
Erm.. ok..
Let say, integral ( x^2 + y + z)ds , the line segment of curve is from (0,0,0) to (1,2,1).
We parameterize curve C by x=t , y=2t , z=t.
As you said, t should be between 0 and 2.
but according to my reference book, 0<=t<=1.
Why?
what is the different between line integral and surface integral?
If we parameterize curve by x=t , y=t , what is the range of t ? Is it 0<= t <=1? why?
the smaller set in R^2 is {<1,0> , <0,1>}, this set "spans" entire R^2, correct?
how can span related to linear independence of the set of vectors, S in a vector space, V ?
if the set of vectors, S is "linearly independent or linearly dependent", then S "must" be a span of V.
or should say...
can explain to me what is mean of span?
from book, it say "every vector in the space can be expressed as linear combination of the vectors, then it called the span of vector."
but i still can't catch its meaning and concept.