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3 years ago

What is the markdown from $90 to $75?

Mathematics

1 answer:

love history [14]3 years ago

5 0

Answer:

$15.

Step-by-step explanation:

90-75=15, which is the difference between the two. Hope this helps.

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4(4-w)=3(2w+2) find w

Travka [436]

Answer:

Step-by-step explanation:

4(4-w) = 3(2w+2)

Use distributive property:

16 - 4w = 6w + 6

+4w +4w

------------------------

16 = 10w + 6

-6 -6

-------------------------

10 = 10w

---- -----

10 10

1 = w

Hope this helped.

7 0

3 years ago

Read 2 more answers

PLEASE HELP ASAP NO LINKS

insens350 [35]

function : p(x) = 65 + 25(x)

for 3 sells

p(3) = 65 + 25(3)

p(3) = 140

for 10 sells

p(10) = 65 + 25(10)

p(10) = 315

So,

140 ≤ p(x) ≤ 315

8 0

2 years ago

Read 2 more answers

A patient was supposed to take 560 mg of medicine, but took only 420 mg. What percent of the medicine did the patient take?

Mandarinka [93]

Answer:

75%

Step-by-step explanation:

6 0

3 years ago

P ^ q is true, and p is true. q is _____. true false

rewona [7]

Answer:

It is True.

Step-by-step explanation:

If the statement p^q is true then it mean both have to be true in order for the statement to be true.

6 0

3 years ago

In the United States, the mean age of men when they marry for the first time follows the normal distribution with a mean of 24.6

Sedbober [7]

Answer:

$z= \frac{25-24.6}{\frac{2.8}{\sqrt{66}}}=1.16$

So we want to find this probability:

$P(z$

And using the normal standard distirbution or excel we got:

$P(z$

Step-by-step explanation:

Let X the random variable that represent the age of men married of a population, and for this case we know the distribution for X is given by:

$X \sim N(24.6,2.8)$

Where $\mu=24.6$ and $\sigma=2.8$

We are interested on this probability

$P(\bar X$

The sample size is n =66. We can use the z score to solve this problem:

$z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}$

If we find the z score for 25 we got:

$z= \frac{25-24.6}{\frac{2.8}{\sqrt{66}}}=1.16$

So we want to find this probability:

$P(z$

And using the normal standard distirbution or excel we got:

$P(z$

5 0

3 years ago