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love history [14]
3 years ago
8

If 12 less than 4 time a nunber is 8 the nuber is 5

Mathematics
1 answer:
kirza4 [7]3 years ago
4 0
Is this a true or false question? If so, then the answer is true.
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Question 1
xeze [42]

Step-by-step explanation:

Graphs of Exponential Functions

The graph passes through the point (0,1)

The domain is all real numbers.

The range is y>0.

The graph is increasing.

The graph is asymptotic to the x-axis as x approaches negative infinity.

The graph increases without bound as x approaches positive infinity.

The graph is continuous.

6 0
3 years ago
Read 2 more answers
Which is less -.72 or -7/12
Likurg_2 [28]

ok so 7 divided by 12 is 0.5833333 repeating so -0.72 is less because the bigger one is always less in the negatives

5 0
4 years ago
Read 2 more answers
Please help me and I will make you the brainiest
wlad13 [49]

Answer:

y=a-4 divided 3-a and a cut so remember 4divided3  so, y= 1.33

Step-by-step explanation:

7 0
4 years ago
Witch value of x makes this equation true 2(2x - 4) + 4=12<br><br> A) 3<br> B) 4<br> C) 5<br> D) 6
umka2103 [35]

Answer:

X=4

Step-by-step explanation:

2(2x-4)+4=12

4x-8+4=12

4x-4=12

4x-4+4=12+4

4x=16

x=4

4 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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