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melamori03 [73]
3 years ago
13

Heeeeeeeeelp plissee!!!

Mathematics
2 answers:
Lana71 [14]3 years ago
8 0
C C A hope I helped have a nice day
taurus [48]3 years ago
5 0
8. C

9. C

10. A

Hope this helped!
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5. (-4, 6), m = 8<br> 8. (3,3), m=4/3
pogonyaev

Answer:

what am i looking for?

Step-by-step explanation:

4 0
3 years ago
What is the vertex of the quadratic function f(x) = (x – 8)(x – 2)?
Anni [7]

Answer:

(5, - 9)

Step-by-step explanation:

Given

f(x) = (x - 8)(x - 2) ← in factored form

Find the zeros by equating f(x) to zero, that is

(x - 8)(x - 2) = 0

Equate each factor to zero and solve for x

x - 8 = 0 ⇒ x = 8

x - 2 = 0 ⇒ x = 2

The vertex lies on the axis of symmetry which is located at the midpoint of the zeros, hence

x_{vertex} = \frac{8+2}{2} = 5

Substitute x = 5 into f(x) for corresponding y- coordinate

f(5) = (5 - 8)(5 - 2) = (- 3)(3) = - 9

vertex = (5, - 9)

8 0
3 years ago
Read 2 more answers
I don’t get exactly how you’re supposed to do this......
Archy [21]

Answer:

9x

Step-by-step explanation:

3y +2x-3y +7x

Combine like terms

2x+7x     +3y-3y

(2+7)x  +(3-3)y

9x          +0y

9x

4 0
3 years ago
Using the data: 2, 2, 3, 3, 3, 4, 5, 6, 6, 19<br><br> What is Q1 and Q3
Anettt [7]

Answer:

Q_1=2

Q_3=6

Step-by-step explanation:

Notice that we already have the data sorted from least to greatest.

Now to find Q1 and Q3 we can use the following formulas

For a set of data ordered from least to greatest of the form X_1, X_2, ..., X_n

Where n is the total number of data

Q_1=X_{\frac{1}{4}(n+1)}

In this case n=10

So:

Q_1=X_{\frac{1}{4}(10+1)}

Q_1=X_{2.75}

Round the nearest whole and get:

Q_1=X_{3}

Q_1=3

For Q3 we have:

Q_3=X_{\frac{3}{4}(n+1)}

Q_3=X_{\frac{3}{4}(10+1)}

Q_3=X_{8.25}

Round the nearest whole and get:

Q_3=X_{8}

Q_3=6

6 0
3 years ago
Use the confidence level and sample data to find a confidence interval
stepan [7]

Answer:

The confidence interval at at 99% level of confidence is <em>93.7 ≤ μ ≤ 96.9</em>.<em> </em>

Step-by-step explanation:

Step 1:

We must first determine the z-value at a confidence level of 99%.

Therefore,

99% = 100%(1 - 0.01)

Thus,

α = 0.01

Therefore, the z-value will be

z_(α/2) = z_(0.01/2) = z_0.005 = 2.58

(The z-value is read-off from the z table from the standard normal probabilities.)

Step 2:

We can now write the confidence interval:

X - z_(α/2) [s/√(n)] ≤ μ ≤ X + z_(α/2) [s/√(n)]

95.3 - 2.58(6.5/√(104))  ≤ μ ≤  95.3 + 2.58(6.5/√(104))

       <em>93.7 ≤ μ ≤ 96.9</em>

Therefore, confidence interval is <em>93.7 ≤ μ ≤ 96.9 </em>which means that we are 99% confident that the true mean population lies is at least 93.7  and at  most 96.9.

4 0
4 years ago
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