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Hoochie [10]
3 years ago
6

The mod told me to put harder questions so here's a harder question: 2x+12= 24 what is x

Mathematics
2 answers:
MaRussiya [10]3 years ago
4 0

Answer:

x = 6

Step-by-step explanation:

2x+12=24

subtract 12 both sides

2x+12-12=24-12

2x=12

divide 2 both sides

2x/2=12/2

x = 6

hope it's helpful ❤❤❤❤

THANK YOU.

Cerrena [4.2K]3 years ago
3 0

Answer:

x=18

Step-by-step explanation:

done

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Copy the figure below onto a separate sheet of paper. Find the image of the figure under reflections in line m and then line t.
san4es73 [151]

The image of the figure under reflections in line m and then line t is shown below.

<h3>What is a transformation of geometry?</h3>

A spatial transformation is each mapping of feature shapes to itself, and it maintains some spatial correlation between figures.

Reflection does not change the size and shape of the geometry.

The image of the figure under reflections in line m and then line t.

The reflection of the rectangle DEFG will be given in the figure.

More about the transformation of geometry link is given below.

brainly.com/question/22532832

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4 0
2 years ago
Simplify -3x^2-5x^2(4x^3-x^2)2
PSYCHO15rus [73]

Let's simplify step-by-step.

−3x2−5x2(4x3−x2)(2)

Distribute:

=−3x2+−40x5+10x4

Answer:

=−40x5+10x4−3x2

8 0
3 years ago
A diagnostic test for a disease is such that it (correctly) detects the disease in 90% of the individuals who actually have the
Ne4ueva [31]

Answer:

0.2177 = 21.77% conditional probability that she does, in fact, have the disease

Step-by-step explanation:

Conditional Probability

We use the conditional probability formula to solve this question. It is

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

P(B|A) is the probability of event B happening, given that A happened.

P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

In this question:

Event A: Test positive

Event B: Has the disease

Probability of a positive test:

90% of 3%(has the disease).

1 - 0.9 = 0.1 = 10% of 97%(does not have the disease). So

P(A) = 0.90*0.03 + 0.1*0.97 = 0.124

Intersection of A and B:

Positive test and has the disease, so 90% of 3%

P(A \cap B) = 0.9*0.03 = 0.027

What is the conditional probability that she does, in fact, have the disease

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.027}{0.124} = 0.2177

0.2177 = 21.77% conditional probability that she does, in fact, have the disease

3 0
3 years ago
The Kellogg Company periodically compares sales across departments. In one particular instance, they would like to determine if
alex41 [277]

Answer:

H₀: μs = μf

H₁: μs ≠ μf

Step-by-step explanation:

Hello!

If the company wants to compare the sales of both departments "snacks" and "frozen foods" to see if there is any difference, the best is to compare the average number of sales of them.

Then the parameters of interest will be:

μs= average number of sales of the "snacks" department.

μf= average number of sales of the "frozen food" department.

The objective is to test if there is any difference between both departments, then the hypothesis should be two-tailed:

H₀: μs = μf

H₁: μs ≠ μf

I hope it helps!

7 0
3 years ago
Which of the following are examples of acute angles? Choose all that apply
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D and E. An acute angle is any angle that is less than 90(a right angle). A is an obtuse angle(more than 90). And B + C are right angles. Hope this helps you!
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4 years ago
Read 2 more answers
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