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Flura [38]
2 years ago
6

The circle graph shows the portions of the time that Ralph spent playing different games.

Mathematics
2 answers:
SSSSS [86.1K]2 years ago
5 0
I agree with you C and D
frutty [35]2 years ago
4 0
I would go with letters C and D.
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MATH QUESTION SCREEN SHOT DOWN BELOW
Lisa [10]
F(x)= (x-p)²+q where (p,q) is min point
f(x)=(x-1)²-2
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2 years ago
I need your help please I don’t understand this
Step2247 [10]
The answer is y = -5/7x + 4/7! The first step is to subtract the 5x so it’s on the other side of the equal sign. So now the equation is 7y = -5x + 4. Then divide each of them for 7
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Step-by-step explanation:

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What is the value of x in the diagram below?
dusya [7]

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2 years ago
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Two surveys were independently conducted to estimate a population mean, μ. denote the estimates and their standard errors by x1
lyudmila [28]

Hi there what you need is lagrange multipliers for constrained minimisation. It works like this,

V(X)=α2σ2X¯1+β2\sigma2X¯2

Now we want to minimise this subject to α+β=1 or α−β−1=0.

We proceed by writing a function of alpha and beta (the paramters you want to change to minimse the variance of X, but we also introduce another parameter that multiplies the sum to zero constraint. Thus we want to minimise

f(α,β,λ)=α2σ2X¯1+β2σ2X¯2+λ(\alpha−β−1).

We partially differentiate this function w.r.t each parameter and set each partial derivative equal to zero. This gives;

∂f∂α=2ασ2X¯1+λ=0

∂f∂β=2βσ2X¯2+λ=0

∂f∂λ=α+β−1=0

Setting the first two partial derivatives equal we get

α=βσ2X¯2σ2X¯1

Substituting 1−α into this expression for beta and re-arranging for alpha gives the result for alpha. Repeating the same steps but isolating beta gives the beta result.

Lagrange multipliers and constrained minimisation crop up often in stats problems. I hope this helps!And gosh that was a lot to type!xd

3 0
3 years ago
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