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Genrish500 [490]
2 years ago
12

NEED HELP ASAP!! Complete the sentence. 13 students is ______ % of 25 students.

Mathematics
2 answers:
Alex787 [66]2 years ago
3 0
52% I hope this helps:)
Rom4ik [11]2 years ago
3 0

Answer:

13 students is ****52%**** of 25 students.

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Students were surveyed about their favorite colors 1/4 of the students preferred read 1/8 of the students preferred blue and 3/5
Elanso [62]

Answer: the number of students that were surveyed is 40

Step-by-step explanation:

Let x = total number of students that were surveyed about their favorite colors

1/4 of the students preferred red.

This means that the number of students that preferred red is 1/4 × x = x/4

1/8 of the students preferred blue.

This means that the number of students that preferred blue is 1/8 × x = x/8

The remaining number of students will be the total number of students - the sum of the number of students that preferred red and the number of students that preferred blue. It becomes

x - (x/4 + x/8) = x - 3x/8 = 5x/8

3/5 of the remaining students were for green. This means that the number of students that preferred green is 3/5 × 5x/8 = 3x/8

if 15 students prefer green, then

3x/8 = 15

3x = 120

x = 120/3 = 40 students

5 0
3 years ago
The sum of 7 and three times a number b is at least 12
Allushta [10]

Answer:

The expression is 7+3b≥12

The solution is b≥5/3

Step-by-step explanation:

7+3b≥12

3b≥5

b≥5/3

6 0
2 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
2 years ago
4. There is no triangle with sides 8, 6 and 14 True or False<br><br>please help it's urgent ​
tangare [24]

Answer:

True

Step-by-step explanation:

Any two sides of a triangle is greater than the third side.

6 0
2 years ago
help please!! i really don’t understand how to do this and i just need an answer so i can get this class over with ;;
tigry1 [53]

Answer:

1/8

Step-by-step explanation:

(6(3)⁻¹(1))⁻³             n⁰=1

(6/3)⁻³

(2)⁻³

1/(2)³

1/8

Hope it helps

5 0
3 years ago
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