Recent content by sneaky666

f(n) and g(n) is arbitrary. Both map from N to N. I think that the statement in the first post is true but I just don't understand how to show this...

They are functions that map N to N (natural numbers). I guess f(n) is just an arbitrary function.

Lets say if g(n) is not an upper bound on f(n), then does that mean g(n) is a lower bound on f(n)? Can anyone help with this please?

is it possible to modify a device that can play hd videos to have a hdmi input, to connect to a tv? What if i use a camcorder that has an hdmi input, and sd card input, then is it possible to play a video file from the sd card on the camcorder, which then gets transferred to the tv though...

so its not possible at all?

Where would i start to create a cheap device that has a usb input and usb output, the device when plugged in a tv (that doesn't play video files from a plugged in usb) and another usb with a video file, plugged in the other side of the device, will allow the tv to read it and play the video...

X1,X2,...,XN are independently identically exponentially distributed with expected value of 5. How can I compute X[bar]n when n=20 and N=1000? Then compute the proportion of values of X[bar]n that lie between 6.99 and 7.01. repeat the above question with n=100 My thoughts so basically...

well i have to do P(Y<=1) = P(X^3<=1) = P(X<=1), and since X ~N(0,1), so I can just look in the book for the standard normal distribution values which is just 0.84134, is that right? By the way out of curiosity how would the pdf graph look for Y^3 ?

If I had Z=Y^3 where Y is a standard normal distribution. How would I approx. calculate the probability of Z<=1 ?, I would understand it if it was Z=Y^2 which is chi-square...

How do i show that the a [X1 has a chi square distribution with n degrees of freedom] + [X2 has a chi square distribution with m degrees of freedom] is a [X1+X2 has a chi square distribution with n+m degrees of freedom]? How can i use moment generating functions to do this?

Homework Statement Let Y=x+4. Compute rY(t) in terms of rX Homework Equations The Attempt at a Solution is the answer just r 3X+4 (t) ?

so then the second summation can be changed to theta(1-theta) * summation from k=100 to infinity of k(1-theta)^(k-1) theta(1-theta) * summation from k=100 to infinity of (-d/d*theta)*(1-theta)^k theta(1-theta) *(-d/d*theta)* summation from k=100 to infinity of (1-theta)^k theta(1-theta)...

ok, but what is the next step, how do i expand the summations?

for your second summation, why is it to the power of j, shouldn't it be to the power of 100, since its a constant probability when x>= 100?

Homework Statement Whats a hint to solve E(min(X,100)), when X~Geometric(theta)? Homework Equations geometric distribution where p is theta The Attempt at a Solution I got here 99 summation x*theta*(1-theta)^x x=o + inf. summation 100*theta*(1-theta)^100 x=100 But I don't know what to...