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2 years ago

Solve and show work pleasee! :)

Mathematics

2 answers:

agasfer [191]2 years ago

5 0

3n - 10 = 5
3n = 5 + 10
3n = 15
15/3 = 5
N = 5

Leto [7]2 years ago

4 0

Answer:

n=5

Step-by-step explanation:

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For every 8 knee bends that Zoey did during the physical fitness test, Cole did 5. Zoey was able to do 33 more knee bends than C

Ludmilka [50]

Answer:

Step-by-step explanation:

difference=8-5=3

if difference is 3 Cole bends=5 times

if difference is 33 Cole bends=(5/3)×33=55 times

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3 years ago

Explain why 13233345364715 is a composite no.

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Answer:

A composite number has more than two factors. In this case, the number 13233345364715 has more than two factors, so it is composite.

Step-by-step explanation:

Numbers can be classified as prime or composite. Prime numbers have only two factors, 1 and the number itself. For example, 13 is a prime number because only 1 and 13 can be multiplied together to get 13. However, a composite number has more than two factors. In the case of the numer 13233345364715, I know that there are more than two factors because the number ends in 5, which means it has a factor of 5. To confirm, divide 13233345364715/5 = 2646669072943. This large of a number may also have other factors, however, since you now know it has at least four factors, it is composite.

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3 years ago

Based on the angle measures what type of triangle is ABD

vodomira [7]

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3 years ago

Suppose 52% of the population has a college degree. If a random sample of size 563563 is selected, what is the probability that

amm1812

Answer:

The value is $P(| \^ p - p| < 0.05 ) = 0.9822$

Step-by-step explanation:

From the question we are told that

The population proportion is $p = 0.52$

The sample size is n = 563

Generally the population mean of the sampling distribution is mathematically represented as

$\mu_{x} = p = 0.52$

Generally the standard deviation of the sampling distribution is mathematically evaluated as

$\sigma = \sqrt{\frac{ p(1- p)}{n} }$

=> $\sigma = \sqrt{\frac{ 0.52 (1- 0.52 )}{563} }$

=> $\sigma = 0.02106$

Generally the probability that the proportion of persons with a college degree will differ from the population proportion by less than 5% is mathematically represented as

$P(| \^ p - p| < 0.05 ) = P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 ))$

Here $\^ p$ is the sample proportion of persons with a college degree.

$P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 )) = P(\frac{[[0.05 -0.52]]- 0.52}{0.02106} < \frac{[\^p - p] - p}{\sigma } < \frac{[[0.05 -0.52]] + 0.52}{0.02106} )$