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defon
3 years ago
5

Multiply.

Mathematics
2 answers:
BARSIC [14]3 years ago
6 0
Exact form: 9/5
Decimal form: 1.8
Mixed number form: 1 4/5
emmainna [20.7K]3 years ago
6 0

Answer:

1\frac{4}{5}

Step-by-step explanation:

3 times 3/5

3 \cdot \frac{3}{5}

To multiply whole number by fraction , then we multiply 3 with the numerator

\frac{3 \cdot 3}{5}

\frac{9}{5}

Now write the fraction in mixed form

when we divide 9 by 5, the quotient is 1 and 4 is the remainder

\frac{9}{5}

1\frac{4}{5}

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A greeting card company can produce a box of cards for $7.50. If the initial investment by the company was $50,000, how many box
larisa86 [58]

Answer:

If cost of one box of card is $7.50 then the no of cards produced is 6667 cards and if cost of one box of card is $10.50 then the no of cards produced is 4762 cards

Step-by-step explanation:

The cost of one box of cards = $7.50

Initial investment = $50,000

No of box of cards produced = Initial investment / cost of one box of card

No of box of cards produced = 50,000/7.50

No of box of cards produced = 6667 cards.

if the cost of one box of cards is increased = $10.50

No of box of cards produced = Initial investment / cost of one box of card

No of box of cards produced = 50,000/10.50

No of box of cards produced = 4762 cards.

So, if cost of one box of card is $7.50 then the no of cards produced is 6667 cards and if cost of one box of card is $10.50 then the no of cards produced is 4762 cards

5 0
4 years ago
Find the necessary confidence interval for the binomial proportion p. (Round your answers to three decimal places.) A 90% confid
frutty [35]

Answer:

[0.875;0.925]

Step-by-step explanation:

Hello!

You have a random sample of n= 400 from a binomial population with x= 358 success.

Your variable is distributed X~Bi(n;ρ)

Since the sample is large enough you can apply the Central Limit Teorem and approximate the distribution of the sample proportion to normal

^ρ≈N(ρ;(ρ(1-ρ))/n)

And the standarization is

Z= ^ρ-ρ  ≈N(0;1)

√(ρ(1-ρ)/n)

The formula to estimate the population proportion with a Confidence Interval is

[^ρ ± Z_{1-\alpha/2}*√(^ρ(1-^ρ)/n)]

The sample proportion is calculated with the following formula:

^ρ= x/n = 358/400 = 0.895 ≅ 0.90

And the Z-value is Z_{1-\alpha/2} = Z_{0.95} = 1.648 ≅ 1.65

[0.90 ± 1.65 * √((0.90*0.10)/400)]

[0.875;0.925]

I hope you have a SUPER day!

5 0
3 years ago
I need help with my math, its 7th-grade math and its due today!
sveta [45]

Answer:

Problem 1 -Rectangle

Problem 2- Not sure how to describe, but here's an approximate picture

4 0
4 years ago
Read 2 more answers
After 3 days a sample of radon-222 has decayed to 58% of its original amount.(
iren2701 [21]
Half-life = [elapsed time * log (2)] / [log (begng amt / endg amt)]
half-life =  (3 days * 0.30102999566) / log (1 / .58)
<span>half-life =  0.903089987 / log </span> (<span> <span> <span> 1.724137931)
</span></span></span>half-life =  <span>0.903089987 / 0.23657200643</span>
half-life =  <span> <span> <span> 3.8174 days

Source:
http://www.1728.org/halflife.htm

</span></span></span>
3 0
3 years ago
A battery was charged. When the charging began, it was 23 percent full. After 30 minutes of charging, the battery was 89 percent
AfilCa [17]

QUESTION:

A battery was charged. When the charging began, it was 23 percent full. After 30 minutes of charging, the battery was 89 percent full. how fast did the battery charge and how long did it take?

Solution :

<u>Given</u>

  • Initial amount of charge = 23%
  • Amount after charge = 89%

<u>procedu</u><u>re</u>

Let the rate of charging be r .

r = (change in charge level) / (time interval) = (89% - 23%) / (30 min) = 2.2 % per minute

charge = (rate of charging)(time) + (initial charge)

100% = r*t + 23%

100% = (2.2 %/min)t + 23%

Solve for t and get

t = [(100 - 23) / 2.2]

Answer = 35 min

7 0
4 years ago
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