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enyata [817]
3 years ago
15

What is the surface area of the equilateral triangular prism? A) 51 cm2 B) 56 cm2 C) 62 cm2 D) 67 cm2

Mathematics
2 answers:
Misha Larkins [42]3 years ago
5 0
To find the surface area I need the sides but here are some steps on how to solve it.

First, substitute the given values into the formula<span>. Then, multiply the sum of the </span>triangle<span> sides by the height of the </span>prism<span> (H) and add the values together for the answer, making sure to include the appropriate unit of measurement. </span>
ELEN [110]3 years ago
3 0
You have to give some info about the prism
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Here’s the link to the answer


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What is the value of n?<br><br><br><br> n–2=10n+42
Bingel [31]

Answer:

N= -44/9 Hope this helped, <3

Step-by-step explanation:

Let's solve your equation step-by-step.

n−2=10n+42

Step 1: Subtract 10n from both sides.

n−2−10n=10n+42−10n

−9n−2=42

Step 2: Add 2 to both sides.

−9n−2+2=42+2

−9n=44

Step 3: Divide both sides by -9.

5 0
2 years ago
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Simplify completely 12 times x to the third power minus 4 times x to the 2nd power plus 8 times x all over negative 2 times x.
olga55 [171]
Isolate the x and the 2 from the top of the equation, then cancel those out from the bottom, then divide out the -1. after that you are left with -6x²+2x-4

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3 years ago
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Express 24 inches to 6 feet in simplest form.
Misha Larkins [42]

Answer:

no

Step-by-step explanation:

3 0
2 years ago
For a fair coin, suppose you toss the coin 100 times.
Natasha_Volkova [10]

Using the normal distribution, it is found that there is a 0.0005 = 0.05% probability of getting more than 66 heads.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with \mu = np, \sigma = \sqrt{np(1-p)}.

For the binomial distribution, the parameters are given as follows:

n = 100, p = 0.5.

Hence the mean and the standard deviation of the approximation are given as follows:

  • \mu = np = 100(0.5) = 50.
  • \sigma = \sqrt{np(1-p)} = \sqrt{100(0.5)(0.5)} = 5

Using continuity correction, the probability of getting more than 66 heads is P(X > 66 + 0.5) = P(X > 66.5), which is <u>one subtracted by the p-value of Z when X = 66.5</u>.

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

Z = \frac{66.5 - 50}{5}

Z = 3.3

Z = 3.3 has a p-value of 0.9995.

1 - 0.9995 = 0.0005.

0.0005 = 0.05%

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

6 0
1 year ago
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