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RSB [31]
3 years ago
11

2/7 and 2/3 determine the common denominator

Mathematics
2 answers:
8_murik_8 [283]3 years ago
8 0

Answer:

21

Step-by-step explanation:

To get the common denominator of two numbers that are not multiples of each other, you multiply the two denominator

So, 7×3=21

forsale [732]3 years ago
8 0
21 is the common denominator between these two fractions, which turns 2/7 into 6/21 and 2/3 into 14/21
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Nutka1998 [239]

Answer:

y=\frac{8}{9}x- \frac{11}{9}

6 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.

8 0
3 years ago
A geologist has ten rock samples in a bag and is going to use eight for class. What is the probability that the first three pull
Neporo4naja [7]

Answer:

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Step-by-step explanation:

3/8 x 2/7 x 1/6 = 1/56

5 0
3 years ago
HELPPPPPPP
statuscvo [17]

Answer:

Step-by-step explanation: so to convert degrees to radians, you multiply your number by pi/180. You then have 96pi/180 radians. Reduce the fraction to simplest form and u have 8pi/15

3 0
3 years ago
Elena's aunt bought her a $200 savings bond when she was born. When Elena is 20 years old, the bond will have earned 110% in int
natulia [17]

Step-by-step explanation:

$157.50

i HOPE THIS HELP YOU

6 0
3 years ago
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