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lord [1]
3 years ago
9

What is the system of elimination for y= -3x+5 y= -8x+25

Mathematics
2 answers:
zubka84 [21]3 years ago
7 0
Y=-3x+5
y=-8x+25

-3x+5=-8x+25
-20=-5x
x=4

y=-3(4)+5=-7
wlad13 [49]3 years ago
6 0

Simplified Answer

x=4

y=-7

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Without using a division or multiplication operator and without using iteration , define a recursive method named product that a
Fantom [35]

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2 years ago
Factor the expression using the GCF: 12x + 36 *
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2 years ago
Find the linearization L(x) of the function at a. <br> f(x) = x3/4, a = 81
Zolol [24]

Please note that your x^3/4 is ambiguous.  Did you mean (x^3)  divided by 4
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If we have a function f(x) and its derivative f'(x), and a particular x value (c) at which to begin, then the linearization of the function f(x) is

f(x) approx. equal to  [f '(c)]x + f(c)].

Here a = c = 81.

Thus, the linearization of the given function at a = c = 81 is

f(x) (approx. equal to)  3(81^2)/4 + [81^3]/4

Note that f '(c) is the slope of the line and is equal to (3/4)(81^2), and f(c) is the function value at x=c, or (81^3)/4.

What is the linearization of f(x) = (x^3)/4, if c = a = 81?

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6 0
3 years ago
g Consider the experiment of a single roll of an honest die and a single toss of 3 fair coins. Let X be the value on the die and
klemol [59]

Answer:

The probability function of X and Y is

P(X = k, Y = 0)  = 1/48\\P(X = k, Y = 1) = 1/16\\P(X = k, Y = 2) = 1/16\\P(X = k, Y = 3) = 1/48

With k in {1,2,3,4,5,6}

Step-by-step explanation:

We can naturally assume that X and Y are independent. Because of that, P(X=a, Y=b) = P(X=a) * P(Y=b) for any a, b.

Note that, since the die is honest, then P(X=k) = 1/6 for any k in {1,2,3,4,5,6}. We can conclude as a consequence that P(X=k, Y=l) = P(Y=l)/6 for any k in {1,2,3,4,5,6}.

Y has a binomial distribution, with parameters n = 3, p = 1/2. Y has range {0,1,2,3}. Lets compute the probability mass function of Y:

P_Y(0) = {3 \choose 0} * 0.5^3 = 1/8

P_Y(1) = {3 \choose 1} * 0.5* 0.5^2 = 3/8

P_Y(2) = {3 \choose 2} * 0.5^2*0.5 = 3/8

P_Y(3) = {3 \choose 3} * 0.5^3 = 1/8

Thus, we can conclude that the joint probability function is given by the following formula

P(X = k, Y = 0) = 1/8 * 1/6 = 1/48\\P(X = k, Y = 1) = 3/8 * 1/6 = 1/16\\P(X = k, Y = 2) = 3/8 * 1/6 = 1/16\\P(X = k, Y = 3) = 1/8 * 1/6 = 1/48

For any k in {0,1,2,3,4,5,6}

4 0
3 years ago
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