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Anestetic [448]
2 years ago
5

Kevin buys

Mathematics
2 answers:
algol [13]2 years ago
7 0

Answer:

1:350 i think

Step-by-step explanation:

i could be wrong

zheka24 [161]2 years ago
3 0

Answer:

1:350 or 1 out of 350. There are 350 tickets, he only bought 1.

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3 years ago
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Urgent I’ll give brainlist
Jobisdone [24]

Answer:

I think A

Step-by-step explanation:

Can you mark me brainliest because I am almost to level ace!

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3 years ago
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2/3 x (-7) + 2/3 x (-5)<br> (a) -8<br> (b) -6<br> (c) -12 2/3<br> (d) 12 2/3
xz_007 [3.2K]

Answer:

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Step-by-step explanation: I hope that helps

5 0
3 years ago
This Question: 1 pt
irinina [24]

Answer:

i would say $148.80

Step-by-step explanation:

tax would amount to 11.20 so when you subyract that from the total then the rest is what she can spend.

6 0
3 years ago
The batteries produced in a manufacturing plant have a mean time to failure of 30 months with a standard deviation of 2 months.
kompoz [17]

Answer:

By the Central Limit Theorem, the sampling distribution is approximately normal, with mean 30 and standard deviation 0.1.

Step-by-step explanation:

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.

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}}

The batteries produced in a manufacturing plant have a mean time to failure of 30 months with a standard deviation of 2 months.

This means that \mu = 30, \sigma = 2

Sample of 400 batteries. The sampling distribution of is approximately:

So n = 400, s = \frac{\sigma}{\sqrt{n}} = \frac{2}{\sqrt{400}} = 0.1

By the Central Limit Theorem, the sampling distribution is approximately normal, with mean 30 and standard deviation 0.1.

6 0
3 years ago
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