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natka813 [3]
2 years ago
12

What is 12 + 24 = 2(6 + ___)

Mathematics
2 answers:
zheka24 [161]2 years ago
8 0

Answer:

12

Step-by-step explanation:

I hope it helped:)))))))))

sleet_krkn [62]2 years ago
5 0

Answer:

12

Step-by-step explanation:

you use distributive property.

when you multiply 6 * 2, you get 12 and when you multiply 12 * 2, you get 24

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− 5 6 ​ − 3 2 ​ v+ 15 4 ​ + 3 1 ​ v
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Answer: 98 - v

Step by step explanation:

-56 + 154 - 32v + 31v

= 98 - v
7 0
3 years ago
What is the vertex of the function f (x) = x2 + 16x?
professor190 [17]

Answer:

(-8,-64)

Step-by-step explanation:

I did the same question.

3 0
3 years ago
The factory quality control department discovers that the conditional probability of making a manufacturing mistake in its preci
Anni [7]

Answer:

The probability that a defective ball bearing was manufactured on a Friday = 0.375

Step-by-step explanation:

Let the event of making a mistake = M

The event of making a precision ball bearing production on Monday = Mo

The event of making a precision ball bearing production on Tuesday = T

The event of making a precision ball bearing production on Wednesday = W

The event of making a precision ball bearing production on Thursday = Th

The event of making a precision ball bearing production on Friday = F

the conditional probability of making a manufacturing mistake in its precision ball bearing production is 4% on Tuesday, P(M|T) = 4% = 0.04

4% on Wednesday, P(M|W) = 0.04

4% on Thursday, P(M|Th) = 0.04

8% on Monday, P(M|Mo) = 0.08

and 12% on Friday = P(M|F) = 0.12

The Company manufactures an equal amount of ball bearings (20 %) on each weekday, Hence, the probability that a random precision ball bearing was made on a particular day of the week, is mostly the same for all the five working days.

P(Mo) = 0.20

P(T) = 0.20

P(W) = 0.20

P(Th) = 0.20

P(F) 0.20

The probability that a defective ball bearing was manufactured on a Friday = P(F|M)

P(F|M) = P(F n M) ÷ P(M)

P(F n M) = P(M n F)

P(M) = P(Mo n M) + P(T n M) + P(W n M) + P(Th n M) + P(F n M)

We can obtain each of these probabilities by using the expression for conditional probability.

P(Mo n M) = P(M|Mo) × P(Mo) = 0.08 × 0.20 = 0.016

P(T n M) = P(M|T) × P(T) = 0.04 × 0.20 = 0.008

P(W n M) = P(M|W) × P(W) = 0.04 × 0.20 = 0.008

P(Th n M) = P(M|Th) × P(Th) = 0.04 × 0.20 = 0.008

P(F n M) = P(M|F) × P(F) = 0.12 × 0.20 = 0.024

P(M) = P(Mo n M) + P(T n M) + P(W n M) + P(Th n M) + P(F n M)

P(M) = 0.016 + 0.008 + 0.008 + 0 008 + 0.024 = 0.064

P(F|M) = P(F n M) ÷ P(M)

P(F n M) = P(M n F) = 0.024

P(M) = 0.064

P(F|M) = P(F n M) ÷ P(M) = (0.024/0.064) = 0.375

Hope this Helps!

4 0
3 years ago
What is 39,204 divided by 54 step by step​
kondaur [170]

Answer:

726

Step-by-step explanation:

See step-by-step in photo attached.

8 0
2 years ago
What is the value of x?<br><br> Enter your answer in the box.<br> (____)
andrew-mc [135]
X = 90 - 64
x = 26 degrees
4 0
3 years ago
Read 2 more answers
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