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sveticcg [70]
3 years ago
13

5m - n + 7 - 4m +6n help

Mathematics
1 answer:
makvit [3.9K]3 years ago
4 0

Answer:

m+5n+7

Step-by-step explanation:

5m-n+7-4m+6n

=5m-4m-n+6n+7

=m+5n+7

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If you bought a stock last year for a price $21, and it has risen 11% since then, how much is the stock worth now, to the neares
Lady_Fox [76]

Answer:

$23.31

Step-by-step explanation:

$21 x 1.11 = $23.31

7 0
2 years ago
-10x-5(1-5x)<br> what are the steps
labwork [276]
- 10x - 5 + 5x

- 10x + 5x - 5

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(15 points) Which expression has a value of 5 x 10^-3
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Step-by-step explanation:

6 0
2 years ago
The distribution of weights for newborn babies is approximately normally distributed with a mean of 7.4 pounds and a standard de
blsea [12.9K]

Answer:

1. 15.87%

2.  6 pounds and 8.8 pounds.

3. 2.28%

4. 50% of newborn babies weigh more than 7.4 pounds.

5. 84%

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 7.4 pounds

Standard Deviation, σ = 0.7 pounds

We are given that the distribution of weights for newborn babies is a bell shaped distribution that is a normal distribution.

Formula:

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

1.Percent of newborn babies weigh more than 8.1 pounds

P(x > 8.1)

P( x > 8.1) = P( z > \displaystyle\frac{8.1 - 7.4}{0.7}) = P(z > 1)

= 1 - P(z \leq 1)

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

P(x > 8.1) = 1 - 0.8413 = 0.1587 = 15.87\%

15.87% of newborn babies weigh more than 8.1 pounds.

2.The middle 95% of newborn babies weight

Empirical Formula:

  • Almost all the data lies within three standard deviation from the mean for a normally distributed data.
  • About 68% of data lies within one standard deviation from the mean.
  • About 95% of data lies within two standard deviations of the mean.
  • About 99.7% of data lies within three standard deviation of the mean.

Thus, from empirical formula 95% of newborn babies will lie between

\mu-2\sigma= 7.4-2(0.7) = 6\\\mu+2\sigma= 7.4+2(0.7)=8.8

95% of newborn babies will lie between 6 pounds and 8.8 pounds.

3. Percent of newborn babies weigh less than 6 pounds

P(x < 6)

P( x < 6) = P( z > \displaystyle\frac{6 - 7.4}{0.7}) = P(z < -2)

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

P(x < 6) =0.0228 = 2.28\%

2.28% of newborn babies weigh less than 6 pounds.

4. 50% of newborn babies weigh more than pounds.

The normal distribution is symmetrical about mean. That is the mean value divide the data in exactly two parts.

Thus, approximately 50% of newborn babies weigh more than 7.4 pounds.

5. Percent of newborn babies weigh between 6.7 and 9.5 pounds

P(6.7 \leq x \leq 9.5)\\\\ = P(\displaystyle\frac{6.7 - 7.4}{0.7} \leq z \leq \displaystyle\frac{9.5-7.4}{0.7})\\\\ = P(-1 \leq z \leq 3)\\\\= P(z \leq 3) - P(z < -1)\\= 0.9987 -0.1587= 0.84 = 84\%

84% of newborn babies weigh between 6.7 and 9.5 pounds.

7 0
3 years ago
*33 points* Can someone help me with this project please?? Thank you
Lena [83]

Answer:

part 3: add how ever many years that much money

Part 4:

Step-by-step explanation:

part 3:for instance 0years = 1,000$ to 5years so it equals 6,000$ and so on if you dont get it ask me

and its the same calculation each time

Part4: write about how much money you earned and if you can retire with that in the first box, and in the second, write about how you will most likely earn the money

HOPE THIS HELPED I REALLY DO, MARK BRAINLIEST PLZ I NEED IT

4 0
3 years ago
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