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elena-14-01-66 [18.8K]
3 years ago
11

Number 11 im confuzed please help me

Mathematics
1 answer:
Katena32 [7]3 years ago
6 0

Answer:

Finding the area

Step-by-step explanation:

This is because two shapes can have different measurements and have the same area. For example,  A cube that is 3x3x3 has an area of 27, a rectangle that has the dimensions 1x3x9 has the same area, but it's a different shape.

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Solve for x. 2000=500e^4x
Misha Larkins [42]

Answer:

A. x = (ln(4))/4

Step-by-step explanation:

2000 = 500e⁴ˣ

(2000)/500 = (500e⁴ˣ)/500

4 = e⁴ˣ

ln(4) = ln(e⁴ˣ)

ln(4) = 4x

(ln(4))/4 = (4x)/4

(ln(4))/4 = x

x = (ln(4))/4

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What is the domain of {(1, 3) (4, 3) (6, 2)}?
bija089 [108]
Domain means the set of x values. So the domain would be 1,4,6
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Read 2 more answers
A ski resort gets an average of 2,000 customers per weekday with a standard deviation of 800 customers. Assume the underlying di
ladessa [460]

Answer:

0.62% probability that a ski resort averages more than 3,000 customers per weekday over the course of four weekdays

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 = 2000, \sigma = 800, n = 4, s = \frac{800}{\sqrt{4}} = 400

Trobability a ski resort averages more than 3,000 customers per weekday over the course of four weekdays.

This is 1 subtracted by the pvalue of Z when X = 3000. So

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

By the Central Limit Theorem

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

Z = \frac{3000 - 2000}{400}

Z = 2.5

Z = 2.5 has a pvalue of 0.9938

1 - 0.9938 = 0.0062

0.62% probability that a ski resort averages more than 3,000 customers per weekday over the course of four weekdays

3 0
3 years ago
Solve the following using PEMDAS<br>4^2 × (8 minus 2)​
Kazeer [188]

Answer:

The answer is 96

Step-by-step explanation:

The answer is 96 because 4^2 is 16 and 8 minus 2 is 6 so 16 multiplied by 6 is 96

P.S Can I have brainliest?

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3 years ago
Lines a and b are parallel m&lt;2 = ?°​
cestrela7 [59]

Answer:

50 degrees

Step-by-step explanation:

50 degrees because angle 2 is its vertical angle

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