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musickatia [10]
2 years ago
14

Complete the square to make a perfect square trinomial. Then, write the result as a binomial squared. q2+11q

Mathematics
2 answers:
Sedbober [7]2 years ago
8 0

Answer:

(q+\frac{11}{2})^2-\frac{121}{4}

Step-by-step explanation:

We have been given an expression q^2+11q. We are asked to complete the square to make a perfect square trinomial. Then, write the result as a binomial squared.

We know that a perfect square trinomial is in form a^2+2ab+b^2.

To convert our given expression into perfect square trinomial, we need to add and subtract (\frac{b}{2})^2 from our given expression.

We can see that value of b is 11, so we need to add and subtract (\frac{11}{2})^2 to our expression as:

q^2+11q+(\frac{11}{2})^2-(\frac{11}{2})^2

Upon comparing our expression with (a+b)^2=a^2+2ab+b^2, we can see that a=q, 2ab=11q and b=\frac{11}{2}.

Upon simplifying our expression, we will get:

(q+\frac{11}{2})^2-\frac{11^2}{2^2}

(q+\frac{11}{2})^2-\frac{121}{4}

Therefore, our perfect square would be (q+\frac{11}{2})^2-\frac{121}{4}.

hram777 [196]2 years ago
7 0

Answer:

(q+\frac{11}{2})^2-\frac{121}{4}

Step-by-step explanation:

The given expression is

q^2+11q

We need to write the result as a binomial square.

If an expression is x^2+bx, then we need to add (\frac{b}{2})^2 in the expression to make it perfect square.

In the given expression b=11 and x=q.

(\frac{b}{2})^2=(\frac{11}{2})^2

Add and subtract (\frac{11}{2})^2 in the given expression.

q^2+11q+(\frac{11}{2})^2-(\frac{11}{2})^2

(q+\frac{11}{2})^2-(\frac{11}{2})^2         [\because (a+b)^2=a^2+2ab+b^2]

(q+\frac{11}{2})^2-\frac{121}{4}

Therefore, the result as a binomial square is (q+\frac{11}{2})^2-\frac{121}{4}.

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Sever21 [200]

Answer:

\begin{array}{c|c}x&y\\-2&13\\-1&9\\0&5\\1&1\\2&-3\end{array}

Step-by-step explanation:

Put x = -2, x = -1, ... , x = 2 to the equation of the function y = -4x + 5 and calculate the values of y:

for x = -2

y = -4(-2) + 5 = 8 + 5 = 13

for x = -1

y = -4(-1) + 5 = 4 + 5 = 9

for x = 0

y = -4(0) + 5 = 0 + 5 = 5

for x = 1

y = -4(1) + 5 = -4 + 5 = 1

for x = 2

y = -4(2) + 5 = -8 + 5 = -3

5 0
2 years ago
Read 2 more answers
Jolie can read around 14 sentences per minute of her current novel. She wants to finish her reading before the movie comes out n
vladimir1956 [14]
This is what you would do
120 x 17= 2040
Or you could do 12 x 17 then, add a zero to the end of it.
Then you would divid from what you got when you did 120 x 17 by 60
That should give you the answer. 
Hope this helps if im not mistaken it should be 34 

2040 <span>60 </span>= 34

34 = 340 to the nearest tenth

34 = 34 to the nearest hundredth

34 = 34 to the nearest thousandth

= 0 to the nearest tenth

= 0 to the nearest hundredth

= 0 to the nearest thousandth



4 0
2 years ago
Explain how you know that the sum of 12.6,3.1, and 5.4 is greater than 20
ozzi
By just looking at ur whole numbers...12 + 3 + 5 = 20...and thats not even counting ur decimals..so by adding ur decimals, u know that it will be over 20.
5 0
3 years ago
Which symbol makes the number sentence true? -3.5__ 14/4 (&lt; = &gt;)
8090 [49]

Answer:

it's =

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8 0
2 years ago
Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000 If we record the se
lys-0071 [83]

Answer:

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Population:

Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000

Sample of 40

Shape approximately normal

Mean 350000

Standard deviation s = \frac{160000}{\sqrt{40}} = 25298

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

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3 years ago
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