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steposvetlana [31]
3 years ago
11

−3.5=x4 please help me

Mathematics
1 answer:
Studentka2010 [4]3 years ago
3 0
The answer is -0.875
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A spinner has 12 equal sections:5 red 4 green and the rest are black. In 921 spins how many times can you expect to spin black?
Komok [63]

Answer:

230

Step-by-step explanation:

12 sections total

5 red, 4 green, the rest black

12-5-4 = 3 sections are black

3/12 = 1/4 of the sections are black

1/4 represents the probability of landing on black for one spin

(1/4)*921 = 230.25 which rounds to 230

We expect to land on a black section about 230 times out of 921 times total.

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A square pyramid has sides of 8 m. Each face is an equilateral triangle.
Annette [7]

Lateral Area means Area of all four triangles

Now area of 1 triangle = \frac{\sqrt{3}}{4} a^2  =  \frac{\sqrt{3}}{4} 8^2

= \frac{\sqrt{3}}{4} * 64 = 16\sqrt{3} square meters

Now for four triangles we multiply by 4

So

Lateral area of pyramid =4* 16\sqrt{3} = 64\sqrt{3} m^2

that is Option D

3 0
2 years ago
Isabella worked 50 hours over the past two weeks, and she gets paid by the hour. During the first week of the two-week span, she
mestny [16]
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6 0
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Components of a certain type are shipped to a supplier in batches of ten. Suppose that 52% of all such batches contain no defect
koban [17]

Answer:

P ( B0 / D0 ) = 0.59877

P ( B1 / D0 ) = 0.25793

P ( B2 / D0 ) = 0.14329

Step-by-step explanation:

Given:

-  0 be the event that the batch has 0 defectives = (0 ) = 0.52

- 1 be the event that the batch has 1 defectives = (1 ) = 0.28

- 2 be the event that the batch has 2 defectives = (2 ) = 0.2

- Two components are selected

Find:

What are the probabilities associated with 0, 1, and 2 defective components being in the batch under each of the following conditions?

(a) Neither tested component is defective.

Solution:

Let 0 be the event that neither selected component is defective.

- The event 0 can happen in three different ways:

(i) Our batch of 10 is perfect, and we get no defectives in  our sample of two;

                   P(i) = P(B0) = 0.52

(ii) Our batch of 10 has 1 defective, but our sample of two misses them;

                  P ( no defect / B1 ) = P ( no defect ) / P ( B 1 )

                                                  = 9C2 / 10C2 = 0.8

                  P ( ii ) = 0.28*0.8 = 0.224

(iii) Our batch  has 2 defective, but our sample misses them.

                 P ( no defect / B2 ) = P ( no defect ) / P ( B 2 )

                                                  = 8C2 / 10C2 = 56/90

                  P ( iii ) = 0.2*56/90 = 0.124444

- Then,

                 P(Do) = P(i) + P(ii) + P(iii)

                 P(Do) = 0.52 + 0.224 + 0.124444 = 977/1125

We use the general conditional probability formula:

                P ( B0 / D0 ) = P ( B0 & D0 ) / P( D0 )

                P ( B0 / D0 ) = 0.52*1125 / 977 = 0.59877

                P ( B1 / D0 ) = P ( B1 & D0 ) / P( D0 )

                P ( B1 / D0 ) = 0.224*1125 / 977 = 0.25793

                P ( B2 / D0 ) = P ( B2 & D0 ) / P( D0 )

                P ( B2 / D0 ) = 0.12444*1125 / 977 = 0.14329

5 0
2 years ago
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