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2 years ago

Which statement is true about setting up a proportion to solve for the missing measure?

Mathematics

2 answers:

LiRa [457]2 years ago

7 0

Answer: B)

Corresponding parts must be in the same position.

Step-by-step explanation:

Lerok [7]2 years ago

3 0

Answer:

corresponding parts must be in the same position (B)

Step-by-step explanation:

hope this helps ( -u-) ^^

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3/4x+3y=12 for x when y=5

Karolina [17]

Solve for x by simplifying both sides of the equation, then isolating the variable.
x = -4
Hope this helps! :)
Happy New Years!

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3 years ago

Danielle made 13 out of 18 free throw shots. About how many out of 7 free throw shots would you expect her to make?

serg [7]

5 because if you subtract 13 from 18 you will get five and might be her avrage

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3 years ago

if selina 8% commission on sales.on one sale,her commission was $20.40.what was the amount of that sales

Art [367]

Answer:

255

Step-by-step explanation:

20.40

100

20.40

100

20.40

100

255

Method 2:

20.40 x

% you want

% you've got

20.40

100

255

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3 years ago

How do you solve this problem?

finlep [7]

Can you please take a photo again?

8 0

3 years ago

How much difference do a couple of weeks make for birth weight? Late-preterm babies are born with 34 to 36 completed weeks of ge

stiks02 [169]

Answer:

a) 0.3277

b) 0.0128

Step-by-step explanation:

We are given the following information in the question:

N(2750, 560).

Mean, μ = 2750

Standard Deviation, σ = 560

We are given that the distribution of distribution of birth weights is a bell shaped distribution that is a normal distribution.

Formula:

$z_{score} = \displaystyle\frac{x-\mu}{\sigma}$

a) P (less than 2500 grams)

P(x < 2500)

$P( x < 2500) = P( z < \displaystyle\frac{2500 - 2750}{560}) = P(z < -0.4464)$

Calculation the value from standard normal z table, we have,

$P(x < 2500) = P(z < -0.4464) = 0.3277 = 32.77\%$

b) P ((less than 1500 grams)

P(x < 1500)

$P( x < 1500) = P( z < \displaystyle\frac{1500 - 2750}{560}) = P(z < -2.2321)$

Calculation the value from standard normal z table, we have,

$P(x < 1500) = P(z < -2.2321) = 0.0128 = 1.28\%$

3 0

2 years ago