What two integers does the square root of 429 lie?

35 + 70 = 35(1 + 2) O Yes O No

Sliva [168]

Answer:

Yes

Step-by-step explanation:

Because 35 * 1 is 35 and 35 * 2 is 70

6 0

3 years ago

Read 2 more answers

Write 75 as a product of prime use index notation when giving your answer

11Alexandr11 [23.1K]

The prime factorization of 75 is 3 × 5 × 5 or 3 x 52.

6 0

1 year ago

What is the value of x in the equation 13 x minus 2 (8 + 5 x) = 12 minus 11 x?

AnnZ [28]

The value of n in given proportion is 16

Solution:

We have to find the value of "n" in the proportion

Given proportion is:

$\frac{n}{28} = \frac{4}{7}$

We can solve the above proportion by cross-multiplying

Multiply the numerator of the left-hand fraction by the denominator of the right-hand fraction

Multiply the numerator of the right-hand fraction by the denominator of the left-hand fraction

Set the two products equal to each other

Solve for the variable

$->\frac{n}{28} = \frac{4}{7}$

$-> 7 * n = 4 * 28$

$-> n = \frac{4 * 28}{7}$

$-> n = 4 * 4 = 16$

Thus the value of n in given proportion is 16

6 0

2 years ago

Read 2 more answers

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

Multiply: (49)(58)

IrinaVladis [17]

(49)(58) = 2,842 49 x58 ------ 2,842

4 0

3 years ago