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3 years ago

PLEASE HELP

Mathematics

1 answer:

ycow [4]3 years ago

5 0

Answer:

$11$ bushels of apples were sold

Step-by-step explanation:

Let

x----> bushels of peaches

y----> bushels of apples

we know that

$7x+6y=346$ -----> equation A

$x=y+29$ -----> equation B

substitute equation B in equation A and solve for y

$7(y+29)+6y=346$

$7y+203+6y=346$

$13y=346-203$

$13y=143$

$y=143/13=11$

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Sophia's batting average is 0.022 higher than Joud's batting average of 0.169. what is Sophia's batting average?

WARRIOR [948]

Answer:

0.191

Step-by-step explanation:

0.169

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3 years ago

What's the answer to this question= 4(3x + 2) + 2(x + 3)

Serga [27]

Answer:

$\huge{ \boxed{ \bold{ \tt{14x + 14}}}}$

Option E is the best choice.

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☯ Question : Simplify

4 ( 3x + 2 ) + 2 ( x + 3 )

☯ Available options :

☐ 12x + 16

☐ 24x + 48

☐ 10x + 2

☐ 14x + 48

☑ 14x + 14

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✎ Step - by - step explanation :

$\sf{4(3x + 2) + 2(x + 3)}$

Distribute 4 through the parentheses

$\dashrightarrow{ \sf{12x + 8 + 2(x + 3)}}$

Distribute 2 through the parentheses

$\dashrightarrow{ \sf{12x + 8 + 2x + 6}}$

Combine like terms. Only coefficients of like terms can be added or subtracted

$\dashrightarrow{ \sf{12x + 2x + 8 + 6}}$

$\dashrightarrow{ \sf{14x + 8 + 6}}$

Add the numbers : 8 and 6

$\dashrightarrow{ \boxed{ \sf{14x + 14}}}$

Hope I helped!

Have a wonderful time ツ

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Sarah has completed the first few steps for constructing the inscribed circle for triangle ABC. She started by constructing the

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Step-by-step explanation:

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A company makes rubber rafts. 12% of them develop cracks within the first month of operation. 27 new rafts are randomly sampled

rewona [7]

The probability that the number of tested rafts that develop cracks is no more than 3 is <u>.00006</u>.

The true proportion, p for the population is given to 0.12.

Thus, the mean, μ, for the sample = np = 27*0.12 = 3.24.

The sample size, n, given to us is 27.

Thus, the standard deviation, s, for the sample can be calculated using the formula, s = √{p(1 - p)}/n.

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Learn more about sampling distributions at

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