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Anettt [7]
3 years ago
6

I tried sketching technoblade as a child

Mathematics
2 answers:
Harrizon [31]3 years ago
6 0

Answer:

best drawing I've ever seen... you should be an artist!!!

Mekhanik [1.2K]3 years ago
4 0

Answer:

From 1 - 10, I will rate 10.

Step-by-step explanation:

I rate 10 because I like how I get the cartoonish feeling and it is also really pretty. You have that talent in you. I am a big fan of arts and I am good at painting rather then drawing characters. It is impressive how your drawing is.

Stay safe, happy, and healthy, thank you :) !!

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B 20%

Step-by-step explanation:

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natta225 [31]

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Step-by-step explanation:

See graph attached

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3 years ago
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The average amount of water in randomly selected 16-ounce bottles of water is 16.15 ounces with a standard deviation of 0.45 oun
vekshin1

Answer:

0.0179 = 1.79% probability that the mean of this sample is less than 15.99 ounces of water.

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 = 16.15, \sigma = 0.45, n = 35, s = \frac{0.45}{\sqrt{35}} = 0.0761

What is the probability that the mean of this sample is less than 15.99 ounces of water?

This is the pvalue of Z when X = 15.99. So

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

By the Central Limit Theorem

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

Z = \frac{15.99 - 16.15}{0.0761}

Z = -2.1

Z = -2.1 has a pvalue of 0.0179

0.0179 = 1.79% probability that the mean of this sample is less than 15.99 ounces of water.

3 0
3 years ago
Double the difference between 7 and y
pickupchik [31]

Answer:

Difference indicates subtraction: The difference of a number and 9 is (x−9) Twice the difference means 2(x−9) We know that the answer to this is 2 , so as an equation: 2(x−9)=2.

Step-by-step explanation:

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What is the result of 6 / 2(1 + 2) =
castortr0y [4]
1 plus 2 = 3, then u do 6/2 (3), then 3x3 = 9
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