Answer: 1
Step-by-step explanation:
The expression shown below is a difference of two squares.
<h3>Is a given expression a perfect square trinomial or a difference of two squares?</h3>
In this problem we have an algebraic expression that has to be checked by algebraic procedures. The complete procedure is shown below:
(x² + 8 · x + 16) · (x² - 8 · x + 16) Given
(x + 4)² · (x - 4)² Perfect square trinomial
[(x + 4) · (x - 4)] · [(x + 4) · (x - 4)] Definition of power / Associative and commutative property
(x² - 16)² Difference of squares / Definition of power / Result
The expression shown below is a difference of two squares.
To learn more on differences of squares: brainly.com/question/11801811
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You haven't provided the expression or the choices, therefore, I cannot provide an exact answer.
However, I'll try to help you understand the concept so that you can solve the question you have
Like radicals are characterized by the following:1- They both have the same root number (square root, cubic root , ...etc)
2- They both have the same radicand (meaning that the expression under the root is the same in both radicals)
Examples of like radicals:3

and 7

![\sqrt[5]{x^2y}](https://tex.z-dn.net/?f=%20%5Csqrt%5B5%5D%7Bx%5E2y%7D%20)
and 3
![\sqrt[5]{x^2y}](https://tex.z-dn.net/?f=%20%5Csqrt%5B5%5D%7Bx%5E2y%7D%20)
Check the choices you have. The one that satisfies the above two conditions would be your correct choice
Hope this helps :)
<h2><u>
Answer with explanation:</u></h2>
Let p be the proportion of voters in a certain state support an increase in the minimum wage.
As per given , we have

Since alternative hypothesis is right-tailed so the test is a right-tailed test.
Test statistic : 
, where n= sample size.
p= population proportion.
= sample proportion.
. In a random sample of 300 fast food workers for 240 supporters increase an minimum-wage.
i.e. n= 300 and 
Then,

For significant level α = .05 , the critical z-value is

Decision : Since calculated z-value (3.78) is greater than the critical value (1.645) , so we reject the null hypothesis.
Conclusion : We have sufficient evidence o support researcher's claim that that the percentage of fast food workers for support and increase is higher than 70%..