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zhenek [66]
3 years ago
10

Write a matrix to represent the system of equations.

Mathematics
2 answers:
ioda3 years ago
7 0

Answer:

7   -1   6  |  -8

7  -5   7   |  1

0    1    -4 | -5

Step-by-step explanation:

Note that there are four columns in this system, representing the variables x, y and z and constants.  So the given matrix pattern is appropriate:  It has three columns for the coefficients of x, y and z and one column for the constants.

We need only identify the coefficients and transfer them into the appropriate boxes of the matrix pattern.

We get:

7   -1   6   -8

7  -5   7     1

0    1    -4  -5

ozzi3 years ago
5 0

7 - 1 + 6 | 8

7 - 5 + 7 | 1

3 - 4 | -5

mark my answer as brainlist please

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-3(x + 5) = 6 - 3(2x + 4) solve for x and show work
salantis [7]
Your answer is x = 3.

-3(x + 5) = 6 - 3(2x + 4)
-3x - 15 = 6 -6x - 12
-3x - 15 = -6 - 6x
-3x + 6x = -6 + 15
3x = -6 + 15
3x = 9
x = 3
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kaheart [24]

Answer:

its 4

Step-by-step explanation:

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3 years ago
What is the<br> proprtion?​
KengaRu [80]
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3 years ago
Simplify |–9.23 – 1.79| – |–7.34 – 2.57|.
vampirchik [111]

Answer:

11.02-9.91= 1.11

Step-by-step explanation:

|-11.02| - |-9.91|  (First solve in absolute)

11.02 - 9.91        (any values outside absolute becomes positive)

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3 years ago
Ninety-one percent of products come off the line within product specifications. Your quality control department selects 15 produ
Allisa [31]

Answer:

Probability of stopping the machine when X < 9 is 0.0002

Probability of stopping the machine when X < 10 is 0.0013

Probability of stopping the machine when X < 11 is 0.0082

Probability of stopping the machine when X < 12 is 0.0399

Step-by-step explanation:

There is a random binomial variable X that represents the number of units come off the line within product specifications in a review of n Bernoulli-type trials with probability of success 0.91. Therefore, the model is {15 \choose x} (0.91) ^ {x} (0.09) ^ {(15-x)}. So:

P (X < 9) = 1 - P (X \geq 9) = 1 - [{15 \choose 9} (0.91)^{9}(0.09)^{6}+...+{ 15 \choose 15}(0.91)^{15}(0.09)^{0}] = 0.0002

P (X < 10) = 1 - P (X \geq 10) = 1 - [{15 \choose 10}(0.91)^{10}(0.09)^{5}+...+{15 \choose 15} (0.91)^{15}(0.09)^{0}] = 0.0013

P (X < 11) = 1 - P (X \geq 11) = 1 - [{15 \choose 11}(0.91)^{11}(0.09)^{4}+...+{15 \choose 15} (0.91)^{15}(0.09)^{0}] = 0.0082

P (X < 12) = 1- P (X \geq 12) = 1 - [{15 \choose 12}(0.91)^{12}(0.09)^{3}+...+{15 \choose 15} (0.91)^{15}(0.09)^{0}] = 0.0399

Probability of stopping the machine when X < 9 is 0.0002

Probability of stopping the machine when X < 10 is 0.0013

Probability of stopping the machine when X < 11 is 0.0082

Probability of stopping the machine when X < 12 is 0.0399

8 0
3 years ago
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