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Ilya [14]
3 years ago
9

true or false in order to find the lateral surface area you must know the area of the base of the prism​

Mathematics
2 answers:
natima [27]3 years ago
6 0

Answer:

True sorry if I’m wrong

Step-by-step explanation:

Nookie1986 [14]3 years ago
4 0

Answer:

True

Step-by-step explanation:

because you have to find the area and the perimeter of the base

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How many ways are there to divide 4 men and 4 women into two groups of size 4 each?
Arisa [49]
You have 8 people, you have 2 groups of 4.

8!/4!4!
=(8*7*6*5*4*3*2)/(4*3*2*4*3*2)
=(8*7*6*5)/(4*3*2)
=7*6*5/3
=7*2*5
=70

It's been a few years since I've done this. If you haven't learned how to do this type of an equation yet, then I'm probably wrong.
4 0
2 years ago
A square has a perimeter of 28 feet what is its area
Westkost [7]
Given:
square shape
Perimeter 28 feet
Find its area

A square has 4 equal sides, so perimeter is 4a

Perimeter = 4a
28 ft = 4 a
28 ft / 4 = a
7 = a

One side of the the square is 7 ft.

Area of a square is the measure of one side raised to the power of 2.

A = a²
A = (7 ft)²
A = 49 ft²
7 0
3 years ago
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kotegsom [21]
I am doing the same thing
4 0
3 years ago
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Some girls in a Girl Scout troop are pairing up with some boys in a Boy Scout troop to practice square dancing. Two-thirds of th
Natalka [10]

Answer:

Fraction of the scouts are square dancing is \frac{19}{30}.

Step-by-step explanation:

Each pair  is one Girl Scout and one Boy Scout.

So,  to  the final fraction ( of the pairs) we are going to get 1/2 from the fraction of girls and 1/2 from the fraction of boys.  

Girls= \frac{2}{3} *\frac{1}{2} =\frac{2}{6}

Boys= \frac{3}{5} *\frac{1}{2} =\frac{3}{10}

To get the fraction of the scouts that are square dancing,  we have to add the fraction of girls ,  with the fraction of boys.  

=\frac{2}{6} +\frac{3}{10}

=\frac{(2*10) +(6*3)}{6*10} =\\ \frac{20+18}{60}

=\frac{38}{60}

=\frac{19}{30}

This means that  from 30 scouts ,  19 are dancing.  

5 0
2 years ago
Suppose the horses in a large stable have a mean weight of 1467lbs, and a standard deviation of 93lbs. What is the probability t
krok68 [10]

Answer:

0.5034 = 50.34% probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 1467, \sigma = 93, n = 49, s = \frac{93}{\sqrt{49}} = 13.2857

What is the probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable?

This is the pvalue of Z when X = 1467 + 9 = 1476 subtracted by the pvalue of Z when X = 1467 - 9 = 1458.

X = 1476

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{1476 - 1467}{13.2857}

Z = 0.68

Z = 0.68 has a pvalue of 0.7517

X = 1458

Z = \frac{X - \mu}{s}

Z = \frac{1458 - 1467}{13.2857}

Z = -0.68

Z = -0.68 has a pvalue of 0.2483

0.7517 - 0.2483 = 0.5034

0.5034 = 50.34% probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable

5 0
3 years ago
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