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natima [27]
3 years ago
12

Which of the following functions is graphed below?

Mathematics
1 answer:
kompoz [17]3 years ago
6 0

Answer:

A

Step-by-step explanation:

vertex is (-3,-4)

so inside the absolute value bars need to be postive 3 and the four has to be -4.

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The sum of x and y is 7. The value of y is three more than the value of x. Write a system of equations to model this.
Ilia_Sergeevich [38]

Answer: x= 2 , y= 5 (5+2=7)

Step-by-step explanation:

I don't really know how to put it into an equation- but here's your values?? Sorry if this didn't help ):

6 0
3 years ago
Could someone help with a maths question? The attachment has the questions on it.
andre [41]

The days she has recorded: 11 + 10 + 7 + 6 + 3 + 2 = 39
The mode distance (most often): 5 km
Median distance: 6.64 km ~= 6.5 km ~= 7 km by rounding upwards, so 3rd

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7 0
2 years ago
Hey hey u guyss 60 pointsss<br><br><br>-6.1(-4.1) +6.8=<br><br><br>btw hurry im timed plss :)
xenn [34]

Answer:

31.81

Step-by-step explanation:

-6.1 * -4.1 = 25.01

+ 6.8 = 31.81

4 0
2 years ago
Read 2 more answers
Given the following functions f(x) and g(x), solve f[g(6)] and select the correct answer below:
igomit [66]
B. 0

G(6)= 6 - 8 = -2

F(-2) = 6(-2) + 12 = 0
6 0
4 years ago
Consider two x distributions corresponding to the same x distribution. The first x distribution is based on samples of size n =
Tanya [424]

Answer:

The distribution with n = 225 will give a smaller standard error.

Since sigma x = sigma/√n, dividing by the square root of 225 will result in a small standard error regardless of the value of sigma.

Step-by-step explanation:

Standard error is given by standard deviation (sigma) divided by square root of sample size (√n).

The distribution with n = 225 would give a smaller standard error because the square root of 225 is 15. The inverse of 15 multiplied by sigma is approximately 0.07sigma which is smaller compared to the distribution n = 100. Square of 100 is 10, inverse of 10 multiplied by sigma is 0.1sigma.

0.07sigma is smaller than 0.1sigma

8 0
3 years ago
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