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Leya [2.2K]
2 years ago
9

-10(1-9)+6(x-10) please helppppp

Mathematics
2 answers:
stich3 [128]2 years ago
4 0

Answer:

96x - 70

Step-by-step explanation:

Remove the brackets on both expressions.

-10 + 90x + 6x - 60

Add the xs together.

-10 + 96x - 60

combine the - 10 and - 60

96x - 70

Don't go any further. Nothing else combines.

tiny-mole [99]2 years ago
3 0

Answer:

-10 + 90x + 6x - 60

= 96x - 70

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Angel owns 5/8 partnership in a bakery.<br> a. What percent of the bakery does Angel own?
OLEGan [10]
To start this, you would multiply 5/8 by 100 because you’re looking for a percentage.

5/8 x 100 = 62.5%
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2 years ago
in 2000, Jonesville had a population of 15,000. in 2001, the population was 16250 and in 2002, the population was 17,500. if the
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Population (p) = 1,250n + 15,000
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What two integers does the square root of 429 lie?
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The answer should be Two and Three ... 
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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
2 years ago
A farmer kept 96 kilograms of animal feed in his barn.
lesya692 [45]

Answer:

<em>The amount of animal feed left was 86.4 kilograms.</em>

Step-by-step explanation:

Initial amount of animal feed in the barn was 96 kilograms.

The barn leaked and  \frac{1}{10} of the feed was wasted.

So, <u>the amount of feed wasted</u> =\frac{1}{10}(96)=9.6 kilograms.

<em>Now, for finding the amount of feed that was left, we need to subtract the amount of wasted feed from the initial amount of feed.</em>

So, the amount of animal feed left =(96-9.6)\ kilograms=86.4\ kilograms

4 0
2 years ago
Read 2 more answers
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