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Yanka [14]
4 years ago
7

What is a shape that has 3 faces 2 edges No vertices ?? Please help!

Mathematics
1 answer:
mart [117]4 years ago
6 0
Hello!

A cylinder has 3 faces 2 edges and 0 vertices

The answer is cylinder

Hope this helps!
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-3 x - 5 = 36. What is X?
Black_prince [1.1K]

Answer:

x = -13,67

Step-by-step explanation:

-3x - 5 = 36

-3x = 36 + 5

-3x = 41

x = 41/-3

x = -13 2/3

or

x = -13,67

make as the brainliest

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4 years ago
Could somebody or someone help me with this please????
Murrr4er [49]
No one knows the answer
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3 years ago
A rockets speed is 2 1/3 miles per second. How fast is this in miles per hour?
zaharov [31]
1 hour = 60 min = 3600 sec
so 1 mile/sec = 1 mile/(1/60) min = 1 mile/(1/3600)hr = 3600 mile/hr
3 0
3 years ago
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Multiply (−4) × (−2) × (−5).
pashok25 [27]

-40

(-4)*(-2)=8

8*(-5)=40


Hope this helped :)

5 0
3 years ago
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A statistician calculates that 8% of Americans own a Rolls Royce. If the statistician is right, what is the probability that the
hichkok12 [17]

Answer:

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

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 normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

A statistician calculates that 8% of Americans own a Rolls Royce.

This means that p = 0.08

Sample of 595:

This means that n = 595

Mean and standard deviation:

\mu = p = 0.08

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.08*0.92}{595}} = 0.0111

What is the probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%?

Proportion above 8% + 3% = 11% or below 8% - 3% = 5%. Since the normal distribution is symmetric, these probabilities are equal, and so we find one of them and multiply by 2.

Probability the proportion is less than 5%:

P-value of Z when X = 0.05. So

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

By the Central Limit Theorem

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

Z = \frac{0.05 - 0.08}{0.0111}

Z = -2.7

Z = -2.7 has a p-value of 0.0035

2*0.0035 = 0.0070

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

8 0
4 years ago
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