The difference between Pre-Image and Image is given as follows:
- Image is the shape AFTER a transformation is the picture of the transformation.
- A transformation's preimage is the shape BEFORE the change.
<h3>How do you define relationships between Image and Preimage?</h3>
Usually, the difference between image and pre-image is the way or method of transformation.
<h3>What is transformation in math?</h3>
A transformation is a broad phrase covering four distinct methods of changing the shape and/or location of a point, line, or geometric figure.
The Pre-Image is the original shape of the item, and the Image during the transformation is the final shape and location of the object.
The types of transformation in math are;
- translation
- rotation
- reflection, and
- dilation.
Learn more about pre-image:
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Answer:
x = 55
Step-by-step explanation:
opposite angles are supplementary
125+x = 180
Subtract 125 from each side
125+x-125 = 180-125
x = 55
Answer:
C. Reasons for changes in trends can be identified.
Step-by-step explanation:
The others would all be disadvantages.
It’s the first answer choice... the translation was 5 units to the right (horizontal movement so it affects the x) and it’s to the right (which makes it a positive 5). It didn’t move up or down so the y stays the same
Hope it helps
Answer:
The test statistics is 
The p-value is 
Step-by-step explanation:
From the question we are told
The West side sample size is 
The number of residents on the West side with income below poverty level is 
The East side sample size 
The number of residents on the East side with income below poverty level is 
The null hypothesis is 
The alternative hypothesis is 
Generally the sample proportion of West side is
=> 
=> 
Generally the sample proportion of West side is
=> 
=> 
Generally the pooled sample proportion is mathematically represented as
=> 
=> 
Generally the test statistics is mathematically represented as
![z = \frac{\^ {p}_1 - \^{p}_2}{\sqrt{p(1- p) [\frac{1}{n_1 } + \frac{1}{n_2} ]} }](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B%5C%5E%20%7Bp%7D_1%20-%20%5C%5E%7Bp%7D_2%7D%7B%5Csqrt%7Bp%281-%20p%29%20%5B%5Cfrac%7B1%7D%7Bn_1%20%7D%20%2B%20%5Cfrac%7B1%7D%7Bn_2%7D%20%20%5D%7D%20%20%7D)
=> ![z = \frac{ 0.1315 - 0.1628 }{\sqrt{0.1485(1-0.1485) [\frac{1}{578} + \frac{1}{688} ]} }](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B%200.1315%20%20-%200.1628%20%7D%7B%5Csqrt%7B0.1485%281-0.1485%29%20%5B%5Cfrac%7B1%7D%7B578%7D%20%2B%20%5Cfrac%7B1%7D%7B688%7D%20%20%5D%7D%20%20%7D)
=>
Generally the p-value is mathematically represented as
From z-table
So
