That case you could divide the two equations, and then get xdx=ydy. Then I would integrate both sides to get the answer. That technique won't work for the original DE's though...
I tried solving by separation of variables, but I can't figure out how to get all of the x's to one side and y's to the other. I think I am totally missing something obvious...
I am trying to solve this system DE's to determine the systems First Integral.
dx/dt = y+x2-y2
dy/dt = -x-2xy
I am pretty sure I need to pick some different variables to use to make the equation easier to solve, but I can't get anything to work. I thought about letting a variable be x2y...
Ohhhhh I kept thinking it was going to be
Ʃ(xiwi-(xiwi2)/Ʃwi)yi
I makes more sense when you choose a separate index for each summation.
Thanks for the help DrDu!
I need simplify this equation:
Ʃwixiyi - (ƩxiwiƩyiwi)/Ʃwi
Into an equation of the form: Ʃ(something - something)yi
I am pretty sure the first something is xiwi, but I have no idea what the second something would be...
Any help would be greatly appreciated. Thanks!
So would I want to do a z score, like on page three of that document? That seems like it would work better.
Then, I get P(Z≥(1.75-.5)/SQRT(.25/4))=P(Z≥5)=0, which is less than 0.05 so I reject the null..?
Hi, I am trying to teach myself how to test hypotheses for any distribution, but am having some trouble.
X=number chosen each year
θ=Mean number chosen in the population
H0: θ=.5
h1: θ>.5
The random sample of n=4 is 0,1,3,3
Test the Hypotheses at α≤0.05 assuming X is a...
Thanks chiro!
We have covered both of those methods (binomial and likelihood ratio statistic), but I think we are supposed to use the binomial to do this one.
This is what I have so far (I am not very confident):
Sample average = 1.75
So,
Reject H0 if P(X≥1.75, given that X is...
Hi, I am trying to teach myself how to test hypotheses for any distribution, but am having some trouble.
X=number chosen each year
θ=Mean number chosen in the population
H0: θ=.5
h1: θ>.5
The random sample of n=4 is 0,1,3,3
Test the Hypotheses at α≤0.05 assuming X is a...
I am asked to determine if a test procedure is unbiased.
I have the power function and all of that, but I can't figure out what I need to do to determine if the test is unbiased or not. I am guessing I need to find the expected value of the power function or something, but what is that...
This is the question:
Suppose that X1...Xn form a random sample from the Bernoulli Distribution with unknown parameter P. Let Po and P1 be specified values such that 0<P1<Po<1, and suppose that is desired to test the following simple hypotheses: Ho: P=Po, H1: P=P1.
A. Show that a test...
f(x)=1, θ-1/2 ≤ x ≤ θ+1/2
Given that Z=(b-a)(x-θ)+(1/2)(a+b) how would you show that Z has a continuous uniform distribution over the interval (a,b)?
Any help would be much appreciated.