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Bad White [126]
4 years ago
10

The lines shown below are parallel. If the green line has a slope of -17, what is the slope of the red line? ​

Mathematics
1 answer:
lesya [120]4 years ago
6 0

Answer:

it would be 17

Step-by-step explanation:

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nadezda [96]

Answer:

A

Step-by-step explanation:

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3 years ago
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Help if you can please
Gennadij [26K]

Answer:

10 coconut cupcakes

Step-by-step explanation: so, here is what we do since there is 8 cupcakes sold and 4 of them are coconut cupcakes we divide. this is hard to explain but we know that 8 divided by 4 is 2 so we have to multiply to 20 so like 2 times 10 which gives us 20. then we use the answer that we got from multiplying which is 10 as our answer if that makes sense.

6 0
3 years ago
Check all solutions to the equation. If there are no solutions, check 'None."<br> x² = 64
agasfer [191]
16 is the answer thank you
8 0
3 years ago
Determine if the ordered pair (6, 4) is a solution to the inequality
kvasek [131]

Answer:

A

Step-by-step explanation:

all we need to do is to plug the point (6,4) in the inequality and see if it satisfies it :

pay attention that here we have x=6  y=4

4<\frac{3}{4} (6) - 3

we simplify we get :

4<4.5-3  

4<1.5  which is incorrect  so (6,4) is not a solution. moreover

notice that 4 is > than 1.5  so the point lies above the line

thus the answer is : A

you can also solve this problem by graphing the line y=\frac{3}{4} x-3  and plotting the point (6,4)  and hence you will notice that the point is above the line

5 0
3 years ago
Read 2 more answers
A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean l
Mariana [72]

Answer:

Step-by-step explanation:

Hello!

X: the lifespan of a new computer monitor of Glotech.

The average life is μ= 85 months and the variance δ²= 64

And a sample of 122 monitors was taken.

You need to calculate the probability that the sample mean is greater than 86.6 months.

Assuming that the variable has a normal distribution X~N(μ;δ²), then the distribution of the sample mean is X[bar]~N(μ;δ²/n)

To calculate this probability you have to work using the sampling distribution and the following formula Z= (X[bar]-μ)/δ/√n ~N(0;1)

P(X[bar]>86.6)= 1 - P(X[bar]≤86.6)

1 - P(Z≤(86.6-85)/(8/√122))= 1 - P(Z≤2.21)= 1 - 0.98645= 0.013355

The probability of the sample mean is greater than 0.013355

I hope this helps!

7 0
3 years ago
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