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bezimeni [28]
4 years ago
5

A quadrilateral with vertices at A(4, –4), B(4, –16), C(12, –16), and D(12, –4) has been dilated with a center at the origin. Th

e image of D, point D, has coordinates (36, –12). What is the scale factor of the dilation?
1/9
1/3
3
9
Mathematics
2 answers:
Bess [88]4 years ago
8 0

Answer:

Scale factor of the dilation is 3            

Step-by-step explanation:

Given a quadrilateral with vertices at A(4, -4), B(4, -16), C(12, -16), and D(12, -4) has been dilated with a center at the origin. The image of D i.e coordinates of D after dilation are (36,-12).

we have to find the scale factor of the dilation.

As we know if the scale factor for dilation is k the new coordinates after dilation can be calculated as

(x,y) → (kx,ky)

As image of D given i.e

D(12,-4) → D'(36,-12)

⇒ 12 → 12k i.e 12k=36 ⇒ k=3

and -4 → -4k i.e -4k=-12 ⇒ k=3

hence, scale factor of the dilation is 3

erastova [34]4 years ago
6 0
I think the answer is 3, because D(12;-4) and D' is (36;-12). Then 36/12=3, -12/-4=3
(I hope it's true)!!! :)
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Answer:

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Step-by-step explanation:

Data given and notation  

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n_{2}=300 sample 2

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p_{2}=\frac{196}{300}=0.653 represent the proportion of number with no defects in sample 2

z would represent the statistic (variable of interest)  

p_v represent the value for the test (variable of interest)  

\alpha=0.05 significance level given

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if is there is a difference in the the two proportions, the system of hypothesis would be:  

Null hypothesis:p_{1} - p_2}=0  

Alternative hypothesis:p_{1} - p_{2} \neq 0  

We need to apply a z test to compare proportions, and the statistic is given by:  

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{253+196}{300+300}=0.748  

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.  

Calculate the statistic  

Replacing in formula (1) the values obtained we got this:  

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Statistical decision

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Comparing the p value with the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that we have singificantly differences between the two proportions.  

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