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kakasveta [241]
3 years ago
14

HELP WILL GIVE BRAINLIEST

Mathematics
1 answer:
Naddik [55]3 years ago
7 0

Answer:

I dont know what to do

Step-by-step explanation:

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Plzz help me i really need help guys
OverLord2011 [107]

Answer:

Figure 1: 226 ft^{2}

Figure 2: 111 mm^{2}

Step-by-step explanation:

For the first figure, you will split it into two rectangles. You would do 28 x 7 for the first rectangle and get 196. Then, you would do 6 x 5 for the second rectangle and get 30. You would then add these two numbers and get the area of 226 ft^{2}}.

For the second figure, you split it into one triangle and two rectangles. For the triangle, you would do 3 x 6 and then divide that by 1/2, since it is a triangle, and you get 9. For the first rectangle, you would do 10 x 7 and you would get 70. For the final rectangle, you would do 8 x 4 and get 32. You would then add all these numbers up and get the area of 111 mm^{2}.

4 0
3 years ago
...
ICE Princess25 [194]

Answer:-5

Step-by-step explanation:

i could be wrong i used my calculator

4 0
3 years ago
I will mark u brainliest
shutvik [7]

Answer:

2a...true

2b...false

2c....false

2d....false because you are supposed to add and not multiply

8 0
3 years ago
Please help!! ty <33​
ser-zykov [4K]

Answer:

1

Step-by-step explanation:

yeah that's it

also double checked it

4 0
3 years ago
Read 2 more answers
According to a poll taken last year, 45% of the cities' residents get most of their news from the Internet. To conduct a follow-
notsponge [240]

Answer:

The sample size is  n  =419

Step-by-step explanation:

From the question we are told that

    The population proportion is  p = 0.45

     The  margin of error is  E =  0.04

Given that the confidence level is  90%

  Then the level of significance can be mathematically represented as

          \alpha  =  100 -90

          \alpha  =  10\%

         \alpha  = 0.10

Next we obtain the level of significance from the normal distribution table the value is    

             Z_{\frac{\alpha }{2} } =  1.645

   Generally the sample size is mathematically represented as  

        n  = [ \frac{Z_{\frac{\alpha }{2} }}{E} ]^2 *  p(1- p )

substituting values

         n  = [ \frac{1.645 }{0.04} ]^2 *  0.45(1- 0.45 )

        n  =419

     

6 0
4 years ago
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