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masha68 [24]
4 years ago
6

Could someone please help with this question

Mathematics
2 answers:
AleksAgata [21]4 years ago
5 0
Aren't you just multiplying both numerator and denominator by 10? 

Answer: 50
Fiesta28 [93]4 years ago
3 0
Answer: 50/70
Hope this helps!

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18+24+3+4x6=6x(4+6)=____+_____
serg [7]

One option for the answer would be -(9+9)

3 0
4 years ago
Read 2 more answers
Make sure the answer is correct!!
saul85 [17]

1) 5

2)  square root 26

3) 3 pie

4) 2 square root 5


7 0
4 years ago
12. F(x) = 4x squared
Ymorist [56]

Answer:

y-intercept: y=0

axis of symmetry: x=0

vertex: (0,0)

Step-by-step explanation:

To find the y-intercept, set x = 0 and solve for y.

I am assuming f(x) = y

y=4x^2

y=4(0)^2

y=0

The y-intercept of the equation is y = 0.

Now, for the axis of symmetry, you need the equation x=\frac{-b}{2a}

In an equation.. y=ax^2+bx+c

In this case, there is only an a, so plug in the values into the equation.

x=\frac{0}{2(4)}

x=0

The axis of symmetry is x = 0.

To find the vertex, change the format of the equation from standard form to vertex form.

Vertex form: y=a(x-h)^2+k

The vertex is (h,k)

y=4x^2 = 4(x+0)^2+0

(h,k)=(0,0)

The vertex in this case is (0,0).

Graphing makes things a lot easier. If you can graph it, all you have to do is look at the graph and the answers are all there!

Hope this helped you!

6 0
3 years ago
A round trip in a helicopter lasted 4 1/2 hours. The average rate going was 160 kilometers per hour. the average rate returning
aalyn [17]

hm not sure tbh lol but try google as a source

8 0
3 years ago
15. Two methods are used to predict how many customers will call in for help in the next four days. The first method predicts th
Marizza181 [45]

Answer:

Method 1 has bigger forecast bias.

Step-by-step explanation:

We are given the following information in the question:

Actuals:

23, 10, 15, 19

Method 1 prediction:

23, 5, 14, 20

Residuals = Predicted - Actuals

Sum of square of errors:

=(23-23)^2+(5-10)^2+(14-15)^2+(20-19)^2\\= 27

Mean squared error:

\dfrac{\text{Sum of squares}}{n} = \dfrac{27}{4} = 6.75

Method 2 prediction:

20, 13, 14, 20

Residuals = Predicted - Actuals

Sum of square of errors:

=(20-23)^2+(13-10)^2+(14-15)^2+(20-19)^2\\= 20

Mean squared error:

\dfrac{\text{Sum of squares}}{n} = \dfrac{20}{4} = 5

Since, mean square error of method 2 is less as compared to method 1, method 1 has bigger forecast bias.

4 0
4 years ago
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