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charle [14.2K]
3 years ago
14

What is the area of the trapezoid shown below??

Mathematics
1 answer:
Ganezh [65]3 years ago
8 0

Answer:

48

Step-by-step explanation:

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Find the slope of a line perpendicular to y = 3x + 7.
avanturin [10]
To create the perpendicular of a given slope, you use the negative of the slope's reciprocal.

The negative reciprocal of 3 is -1/3.

Therefore, the new slope would be -1/3.
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4 years ago
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What is the volume of the doorstop below?
MArishka [77]
The answer is 27 inches
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What is the solution to this system of linear equations?
sp2606 [1]
The solution to the system of linear equations is (-1,3). Here's how I got my answer step by step using the substitution method.

Step 1: Solve for either x or y in one of the two equations.
  
    y  -  4x  =  7
        + 4x   + 4x
-----------------------
    y = 4x + 7

Step 2: Plug in the value that you got for x or y into the equation that you haven't worked with yet.

2(4x + 7) + 4x = 2
8x + 14 + 4x = 2
     
 12x  +  14  =  2
          - 14   - 14
-----------------------
 12x = -12
-------  -------
  12      12

    x = -1

Step 3: Plug in the number you got for y or x into either of the two equations.

  y - 4(-1) = 7 
  y  +  4  =  7  
        - 4    - 4
-------------------
  y = 3

The final answer is (-1,3). If you want to check to make sure that this coordinate is a solution to the system of equations, all you have to do is plug in -1 for x and 3 for y into both equations. 

Equation 1: y - 4x = 7
Equation 2: 2y + 4x = 2

3 - 4(-1) = 7                      2(3) + 4(-1) = 2
3 + 4 = 7                           6 - 4 = 2
7 = 7                                  2 = 2

I hope all of this makes sense to you :)






3 0
3 years ago
Read 2 more answers
The following table summarises the data from a survey on the ownership of iPods among families with different levels of income.
AURORKA [14]

The two nominal variables are related.

The following table summarises the data from a survey on the ownership of iPods among families with different levels of income.  

Ownership           C1                  C2                  C3

No                         40                 32                   48

Yes                        30                 48                   52

The first thing to do in order to determine if they are related or not is to state our null and alternative hypothesis

Null hypothesis

\mathbf{H_o: Two \nomial  \ variables  \ are \  related}

Alternative hypothesis

\mathbf{H_a: Two \nomial  \ variables  \ are \  not \  related}

Using the Chi-square test statistics which can be expressed by using the formula  

X ^2 = \sum \dfrac{(O-E)^2}{E}

Ownership           C1                  C2                  C3                  Total

No                         40                 32                   48                 120

Yes                        30                 48                   52                 130

Total                      70                 80                   100                250

The expected values are calculated as:

\mathsf{E_{a,b} = \dfrac{(row \ total \times column \ total )}{grand \ total }}

\mathsf{E_{1,1} = \dfrac{(70 \times120 )}{250 }}

\mathsf{E_{1,1} = 33.6}

\mathsf{E_{1,2} = \dfrac{(70 \times130 )}{250 }}

\mathsf{E_{1,2} = 36.4}

\mathsf{E_{2,1} = \dfrac{(80 \times120 )}{250 }}

\mathsf{E_{2,1} = 38.4}

\mathsf{E_{2,2} = \dfrac{(80 \times 130 )}{250 }}

\mathsf{E_{2,2} = 41.6}

\mathsf{E_{3,1} = \dfrac{(100 \times120 )}{250 }}

\mathsf{E_{3,1} = 48}

\mathsf{E_{3,2} = \dfrac{(70 \times130 )}{250 }}

\mathsf{E_{3,2} = 52}

∴ Using the Chi-square test statistics, we have:

X ^2 = \sum \dfrac{(O-E)^2}{E}

X ^2 = \Bigg(  \dfrac{(40-33.6)^2}{33.6}+   \dfrac{(30-36.4)^2}{36.4}+   \dfrac{(32-38.4)^2}{38.4}+  \dfrac{(48-41.6)^2}{41.6} +   \dfrac{(48-48)^2}{48}+   \dfrac{(52-52)^2}{52} \Bigg)

X ^2 = \Bigg(  \dfrac{40.96}{33.6}+   \dfrac{40.96}{36.4}+   \dfrac{40.96}{38.4}+  \dfrac{40.96}{41.6} +   \dfrac{0}{48}+   \dfrac{0}{52} \Bigg)

X ^2 = \Bigg(  1.2190+   1.1253+  1.0667+ 0.9846+0+ 0 \Bigg)

\mathbf{X ^2 =4.3956}

The degree of freedom df = ((r - 1) × (c - 1))

= (3 - 1) (2 -1 )

= 2 × 1

= 2

∴

Assuming the level of significance = 5%

The p-value of the Chi-square test statistics at df of 2 is:

= \mathbf{P(X^2 > 4.3956) \implies 0.111}

Therefore, we can conclude that since the p-value (0.111) is greater than the level of significance (0.05), we fail to reject the null hypothesis.

Hence, the two nominal variables are related.

Learn more about Chi-square test statistics here:

brainly.com/question/2365682?referrer=searchResults

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I need points homie but 7 is 7000 8 is 8000 9 is you baby
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