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brilliants [131]
3 years ago
6

1 the average of 3 6 9

Mathematics
1 answer:
Brut [27]3 years ago
6 0
1. 3 + 6 + 9 = 18
18/3 = 6 --> The average is 6
2. 15 + 5 + 8 + 4 = 32
32/4 = 8 --> The average is 8
3. 6 + 10 + 5 = 21
21/3 = 7 --> The average is 7
4. 14 + 9 + 7 = 30
30/3 = 10 --> The average is 10
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The midpoint of AB is M(3, -1). If the coordinates of A are (5,1), what are the
Vera_Pavlovna [14]

Given parameters:

Midpoint of AB =  M(3, -1)

Coordinates of A = (5,1)

Unknown:

Coordinates of B = ?

Solution:

To find the mid point of any line, we use the expression below;

              x_{m}   = \frac{x_{1} + x_{2}  }{2}    and y_{m}  = \frac{y_{1} + y_{2}  }{2}

where x_{m}  and y_{m} = coordinates of the mid points = 3 and -1

   x₁  = 5 and y₁ = 1

  x₂ = ?  and y₂ = ?

Now let us input the variables and solve,

            3  = \frac{5 + x_{2} }{2}           and     -1 = \frac{1 + y_{2} }{2}

    5 +  x₂  = 6                          -2 = 1  + y₂

            x₂ = 1                             y₂ = -2 -1 = -3

The coordinates of B = 1, -3

6 0
3 years ago
The measure of an angle is 29.3°. What is the measure of a complementary angle?
crimeas [40]
The answer is 60.7 because 90-29.3=60.7

7 0
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Suppose a shipment of 400 components contains 68 defective and 332 non-defective computer components . From the shipment you tak
Alona [7]

Answer:

The standard deviation for the number of defective parts in the sample is 1.88.

Step-by-step explanation:

The sample is with replacement, which means that the trials are independent, and thus, the binomial probability distribution is used to solve this question.

Binomial probability distribution

Probability of exactly x successes on n repeated trials, with p probability.  

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

68 defective out of 400:

This means that p = \frac{68}{400} = 0.17

From the shipment you take a random sample of 25.

This means that n = 25

Standard deviation for the number of defective parts in the sample:

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{25*0.17*0.83} = 1.88

The standard deviation for the number of defective parts in the sample is 1.88.

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3 years ago
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likoan [24]

Step-by-step explanation:

f(a+h) – f(a)/h = –3

so the answer is –3

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The next Numbers in the pattern is 40,41
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