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3 years ago

Scientists found that the body of a male consists of 3.58×10^-4 lbs of zinc. What is the number written in standard notation?

Mathematics

1 answer:

notka56 [123]3 years ago

4 0

Answer:

The number is 0.000358 lbs.

Step-by-step explanation:

Scientists found that the body of a male consists of $3.58 \times 10^{-4}$ lbs of zinc.

This is a scientific way of writing a number.

For, example 0.0023, a number in normal or standard notation can be scientifically written as $2.3 \times 10^{- 3}$ .

So, in our case, the number is $3.58 \times 10^{-4}$ lbs and we have to write this number in standard notation.

Then the number is 0.000358 lbs. (Answer)

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Answer: $\frac{11}{3}\ yards$

Step-by-step explanation:

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Step-by-step explanation:

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1 year ago

Between which two square roots of integers can you find pi

fomenos

Between two square roots of integers, you can find pi are square roots

√9
√10.

<h3>Between which two square roots of integers can you find pi?</h3>

In mathematics, the square root of a number x is a number y such that y2 = x. Another way to put this is to say that a square root of x is a number y whose square equals x.

The number that, when multiplied by itself, results in the value that is sought is referred to as the number's square root.

Since 3 < pi < 4,

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In conclusion, what this demonstrates is that the value of pi may be found anywhere between the square roots of -9 and -10.

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brainly.com/question/1387049

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1 year ago

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Mekhanik [1.2K]

Hello person who is also from earth :)

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The z-score of a measure X of a normally distributed variable with mean $\mu$ and standard deviation $\sigma$ is given by:

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

The z-score measures how many standard deviations the measure is above or below the mean.

Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation for the amounts are given as follows:

$\mu = 3456, \sigma = 478$

The proportion is the <u>p-value of Z when X = 4250</u>, hence:

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$Z = \frac{4250 - 3456}{478}$

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Z = 1.66 has a p-value of 0.9515.

Hence 95.15% of students receive a merit scholarship did not receive enough to cover full tuition.

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