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adell [148]
4 years ago
6

8x10,000+8x1,000+7x100+6x1

Mathematics
1 answer:
Natalka [10]4 years ago
8 0
The answer is 88,706
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25 percent of 510,000
stellarik [79]

Answer:

127 500

Step-by-step explanation:

Let x be the missing value.

● 510 000 => 100

● x => 25

x = (25*51000)÷100 = 127 500

6 0
4 years ago
Read 2 more answers
I<br>buy<br>book for $8,i<br>sell it for<br>$ 3.25.<br>How much<br>of<br>loss<br>do<br>i<br>make ?​
Anuta_ua [19.1K]

Answer:

Loss = $ 4.75

Step-by-step explanation:

Loss = cost price -selling price

You bought a book will be cost price and when u r selling it it will be selling price

loss = 8-3.25

      = 4.75

Loss = $ 4.75

4 0
3 years ago
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A bag of chips costs 59 cents. You need to buy seven bags. Approximately how much will that cost?
tino4ka555 [31]

Answer:

it'll cost about $4.13

Step-by-step explanation:

7 0
3 years ago
During his workouts last week, Allen jogged the same amount of time each day for 6 days. Use the following information to determ
Stella [2.4K]
So you have to break it down
Each workout he jogged and rode his bike
Everyday he jogged for for 45 minutes
He totaled 360 minutes for the week.

There are seven days in a week so divide the 360 by the 7 51 3/7 minutes everyday
Subtract 45 from it 6 3/7
So the answer is he jogged 6 minutes and around 26 seconds everyday
(Concert the 3/7 to seconds by my tip lying it by 60)
3 0
3 years ago
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During a rock concert, the noise level (in decibels) in front row seats has a mean of 95 dB with a standard deviation of 8 dB. W
lorasvet [3.4K]

Answer:

\frac{8}{9} *100= 88.89 \%

So we have at least 88.89% of the noise level values within 3 deviation from the mean.

Step-by-step explanation:

For this case let define the random variable X as the noise level, we know the following properties for X:

E(X) = 95 , Sd(X)= 8

And for this case we don't know the distribution for the random variable X.

But we can use the Chebysev theorem who states that the minimum percentage of the data that lies within k standard deviations from the mean is given by:

1 -\frac{1}{k^2}, k>1

So for this case we have that k = 3 and if we use this theorem we have:

1- \frac{1}{3^2}

1- \frac{1}{9}=\frac{8}{9}

And we can convert this into % and we got:

\frac{8}{9} *100= 88.89 \%

So we have at least 88.89% of the noise level values within 3 deviation from the mean.

5 0
4 years ago
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