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Blababa [14]
3 years ago
8

Help me please!!!!!!

Mathematics
1 answer:
Mnenie [13.5K]3 years ago
4 0

Answer:

c

Step-by-step explanation:

Since the perimeters are equal, then equate the perimeter expressions, that is

4(x - 2) = 6(\frac{1}{2} x + 5) ← distribute parenthesis on both sides

4x - 8 = 3x + 30 ( subtract 3x from both sides )

x - 8 = 30 ( add 8 to both sides )

x = 38

Substitute x = 38 into either of the 2 perimeter expressions

perimeter = 4(x - 2) = 4(38 - 2) = 4 × 36 = 144 in → c

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Please help!!! It’s surface area
Zina [86]

Answer:

3466.64   (≈ 3467) cm²

Step-by-step explanation:

A = 2B + 2 sides and floor

A = 2 * (14 * 24) / 2 + 2 * (45 * √14² + 24²) + 45 * 14

A = 336 + 2500.64 + 630 = 3466.64   (≈ 3467)

6 0
3 years ago
There were 6 Men.
Fiesta28 [93]

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Max has a brother who is four years twice his age. If their combined ages equal 37, how old is Max?
kherson [118]

M=33/3

M=Mark is 11

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Proof:

11+26=37

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Hope I helped! :3

6 0
3 years ago
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vagabundo [1.1K]

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A study of college football games shows that the number of holding penalties assessed has a mean of 2.2 penalties per game and a
dlinn [17]

Answer:

5.71% probability that, for a sample of 40 college games to be played next week, the mean number of holding penalties will be 2 penalties per game or less

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use 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 question, we have that:

\mu = 2.2, \sigma = 0.8, n = 40, s = \frac{0.8}{\sqrt{40}} = 0.1265

What is the probability that, for a sample of 40 college games to be played next week, the mean number of holding penalties will be 2 penalties per game or less

This is the pvalue of Z when X = 2. So

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

By the Central Limit Theorem

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

Z = \frac{2 - 2.2}{0.1265}

Z = -1.58

Z = -1.58 has a pvalue of 0.0571

5.71% probability that, for a sample of 40 college games to be played next week, the mean number of holding penalties will be 2 penalties per game or less

4 0
3 years ago
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