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andrey2020 [161]
3 years ago
7

Will give brainliest!

Mathematics
2 answers:
andrew11 [14]3 years ago
7 0
As the weight increases, the price increases...

Notice how the further away it is going from zero, the higher the price gets, since it is going up. The further up, the more it costs. The further to the right, the more weight. 
goblinko [34]3 years ago
4 0
As the weight increases, the price increases.
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The volume of a cylinder is given by v, where r is the radius of the cylinder and h is the height. Which expression represents t
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Answer:

V= π r2h

is this right

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What is the length of segment A’B’?
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Step-by-step explanation:

A translation is a solid transformation. Lengths of sides and measures of angle remain equal.

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I need help asap math sucks and is hard<br> 8th grade math
s2008m [1.1K]

Answer:

Slope = \frac{-1}{3}

Step-by-step explanation:

(x₁ , y₁) = (-9 , -4)   & (x₂ ,y₂) = (-3, -6)

Slope = \frac{y_{2}-y_{1}}{x_{2}-x_{1}}

         = \frac{-6-[-4]}{-3-[-9]}\\\\= \frac{-6+4}{-3+9}\\\\= \frac{-2}{6}\\\\= \frac{-1}{3}

6 0
2 years ago
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Find the cost per ounce of a gold alloy made from 30 oz of pure gold that costs $1290 per ounce and 60 oz of an alloy that costs
Romashka [77]
The answer would be $24.55 per oz of gold alloy so rounded up would be $25
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3 years ago
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The mean rent of a 3-bedroom apartment in Orlando is $1300. You randomly select 10 apartments around town. The rents are normall
lana [24]

Answer:

96.49% probability that the mean rent is more than $1100

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 = 1300, \sigma = 350, n = 10, s = \frac{350}{\sqrt{10}} = 110.68

What is the probability that the mean rent is more than $1100?

This is 1 subtracted by the pvalue of Z when X = 1100. So

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

By the Central Limit Theorem

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

Z = \frac{1100 - 1300}{110.68}

Z = -1.81

Z = -1.81 has a pvalue of 0.0351

1 - 0.0351 = 0.9649

96.49% probability that the mean rent is more than $1100

7 0
3 years ago
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