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In-s [12.5K]
3 years ago
7

john bought a bicycle for $20 sold it for $30 rebought it for $40 and resold it for $50. How much money did he make or loose?

Mathematics
1 answer:
ValentinkaMS [17]3 years ago
7 0
He lost 50 dollars and earned 80 dollars
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Write the phrase as an expression. Five more that six divided by a number r.
Nuetrik [128]

Answer:

6/r + 5

Step-by-step explanation:

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3 years ago
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What are the solutions to<br> (m +11)2 = 64?
mel-nik [20]

Answer:

(21 + 11)2 = 64

So, I don't think teachers do this, but this is my way of doing it

Okay, so first, I divided 64 by 2 :

64 ÷ 2 = 32

Then, I subtracted 11 from 32:

21

Now, to check, just do the problem :

(21 + 11)2 = 64

      32 * 2 = 64

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3 years ago
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What is the area of this composite figure?
jek_recluse [69]

Answer:

7.14 in. sq

Step-by-step explanation:

First find the area of the square; 2x2=4

Now find the area of the semi-circle; radius = 1.    

1 squared= 1 Now multiply by 3.14 which equals 3.14

Now divide by 2 because it's a semi-circle, you get 1.57.

Multiply 1.57 by 2 because you have 2 semi-circles, the would equal 3.14

Add 4+3.14 and you get 7.14

The area of the composite figure is 7.14 in. sq

7 0
3 years ago
A tablet PC contains 3217 music files. The distribution of file size is highly skewed with many small files. Suppose the true me
m_a_m_a [10]

Answer:

Let X the random variable who represents the file sizeof music. We know the following info:

\mu =2.3,\sigma =3.25

We select a sample of n=50 nails. That represent the sample size.  

Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Let X the random variable who represents the file sizeof music. We know the following info:

\mu =2.3,\sigma =3.25

We select a sample of n=50 nails. That represent the sample size.  

Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.

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3 years ago
Using the number 0,4,9 what is the smallest number you can create
ryzh [129]
9-4=-5 would be the smallest answer
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