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ICE Princess25 [194]
3 years ago
6

Select the correct figures. Choose the solids with approximately equal volumes.

Mathematics
2 answers:
timama [110]3 years ago
6 0
Uhhh can you send a picture so I can help
ira [324]3 years ago
6 0

Answer:

Step-by-step explanation:

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Two young sumo wrestlers decided to go on a special diet to gain weight rapidly. They each gained weight at a constant rate. The
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Answer: the first wrestler gains more at the beginning, the second wrestler gains more faster

Step-by-step explanation:

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3 years ago
Convert 13000 milligrams into pounds. Round your answer to the nearest<br> hundredth.
WINSTONCH [101]

Answer: 0.03

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Let U1, ..., Un be i.i.d. Unif(0, 1), and X = max(U1, ..., Un). What is the PDF of X? What is EX? Hint: Find the CDF of X first,
Kryger [21]

Answer:

E(X)= n \int_{0}^1 x^n dx = n [\frac{1}{n+1}- \frac{0}{n+1}]=\frac{n}{n+1}

Step-by-step explanation:

A uniform distribution, "sometimes also known as a rectangular distribution, is a distribution that has constant probability".

We need to take in count that our random variable just take values between 0 and 1 since is uniform distribution (0,1). The maximum of the finite set of elements in (0,1) needs to be present in (0,1).

If we select a value x \in (0,1) we want this:

max(U_1, ....,U_n) \leq x

And we can express this like that:

u_i \leq x for each possible i

We assume that the random variable u_i are independent and P)U_i \leq x) =x from the definition of an uniform random variable between 0 and 1. So we can find the cumulative distribution like this:

P(X \leq x) = P(U_1 \leq 1, ...., U_n \leq x) \prod P(U_i \leq x) =\prod x = x^n

And then cumulative distribution would be expressed like this:

0, x \leq 0

x^n, x \in (0,1)

1, x \geq 1

For each value x\in (0,1) we can find the dendity function like this:

f_X (x) = \frac{d}{dx} F_X (x) = nx^{n-1}

So then we have the pdf defined, and given by:

f_X (x) = n x^{n-1} , x \in (0,1)  and 0 for other case

And now we can find the expected value for the random variable X like this:

E(X) =\int_{0}^1 s f_X (x) dx = \int_{0}^1 x n x^{n-1}

E(X)= n \int_{0}^1 x^n dx = n [\frac{1}{n+1}- \frac{0}{n+1}]=\frac{n}{n+1}

6 0
3 years ago
Does anybody think they can help with this question?
Sati [7]
The perimeter of a square is the sum of all its sides' lengths

That means: perimeter =4*(7m+1)/3
5 0
3 years ago
F x and r are inversely proportional and x = 9 when r = 72, then what is x when r = 40?
Oksi-84 [34.3K]

Answer:

16.2

Step-by-step explanation:

r = k/x

  • when x = 9 and r = 72 ,

72 = k/9

k = 72*9

When r = 40 ,

x = k/r

x = 72*9/40 = 16.2

8 0
3 years ago
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