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daser333 [38]
2 years ago
6

Tomas learned that the product of the polynomials (a + b)(a2 – ab + b2) was a special pattern that would result in a sum of cube

s, a3 + b3. His teacher put four products on the board and asked the class to identify which product would result in a sum of cubes if a = 2x and b = y.
Mathematics
2 answers:
adoni [48]2 years ago
7 0

Answer:

(2x)^3+(y)^3=(2x+y)(4x^2-2xy+y^2)

Step-by-step explanation:

a= 2x and b = y

then a^3 + b^3 = ?

We know that:

a^3+b^3 = (a + b)(a^2 – ab + b^2)

Putting a =2x and b=y and finding the answer

(2x)^3+(y)^3=(2x+y)((2x)^2-(2x)(y)+(y)^2)

(2x)^3+(y)^3=(2x+y)(4x^2-2xy+y^2)

So, (2x)^3+(y)^3=(2x+y)(4x^2-2xy+y^2)

bearhunter [10]2 years ago
6 0

Answer:

The required product should be (2x)^3+(y)^3=(2x+y)(4x^2-2xy+y^2)

Step-by-step explanation:

Consider the provided information.

Tomas learned that the product of the polynomials (a + b)(a^2 - ab + b^2) was a special pattern that would result in a sum of cubes, a^3 + b^3.

From the above information it is given that:

a^3+b^3 = (a + b)(a^2 -ab + b^2)

Substitute a = 2x and b = y in above and solve.

(2x)^3+(y)^3=(2x+y)[(2x)^2-(2x)(y)+(y)^2]

(2x)^3+(y)^3=(2x+y)(4x^2-2xy+y^2)

Hence, the required product should be (2x)^3+(y)^3=(2x+y)(4x^2-2xy+y^2)

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The 11th grade class at Red Hook high school was surveyed about the types of music they liked. Of those surveyed, 64% said they
Zarrin [17]

22% liked neither.

Step-by-step explanation:

Given,

64% liked pop music.

52% liked rap music.

38% liked both type of music.

To find out the percentage of those liked neither.

Now,

Let, total number of student = 100

Number of students liked pop = 64

Number of students liked rap = 52

Number of students liked both = 38

So,

Number of students who liked only pop = 64-38 = 26

Number of students who liked only rap = 52-38 = 14

Hence,

Number of students who liked neither = 100 - (26+14+38) = 22

22% liked neither.

6 0
2 years ago
What is the range of the function y = 2 e Superscript x Baseline minus 1
pishuonlain [190]

Answer:

I may be able to help you I need a image though

6 0
2 years ago
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Isaac and Shonda can rent a canoe for $12 per hour and a mountain bike for $9 per hour. Together, they have $138 to spend. Let c
trapecia [35]

Answer:

12c + 9m ≤ 138

Step-by-step explanation:

7 0
1 year ago
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A study analyzed the average yearly salt intake in the United States from 2012 thru 2017. The data is summarized in the table: Y
Nuetrik [128]

Answer:

Is an estimate of the average grams of salt used in 2012

Step-by-step explanation:

Let

x ---> the number of years since 2012

f(x) ---> is the total amount of salt ingested in grams

we have

f(x)=52.3x+3.548

This is a linear equation in slope intercept form

where

The slope is equal to

m=52.3\ grams/ year

The y-intercept or initial value is equal to

b=3,548\ grams

The y-intercept is the value of the function f(x) when the value of x is equal to zero

In this context, the y-intercept is the average amount of grams of salt ingested  in the year 2012

The exact value of the average amount of grams of salt ingested  in the year 2012 is 3,554 grams (see the data in the table)

Compare the exact value with the y-intercept

3,554\ g\neq 3,548\ g

therefore

3,548 grams Is an estimate of the average grams of salt used in 2012

7 0
2 years ago
Find the residual values, and use the graphing calculator tool to make a residual plot. A 4-column table with 5 rows. The first
Georgia [21]

Answer:

Solution-

We know that,

Residual value = Given value - Predicted value

The table for residual values is shown below,

Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a random pattern is obtained where the points are evenly distributed about x-axis.

We know that,

If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.

As, in this case the points are distributed randomly around x-axis, so the residual plot show that the line of regression is best fit for the data set.

Hope this helps!

Step-by-step explanation:

4 1
2 years ago
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