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Sliva [168]
3 years ago
5

Someone who is a true hero plz answer this for me I need help

Mathematics
1 answer:
nevsk [136]3 years ago
4 0

Answer:

4√2  or  5.66 to the nearest hundredth.

Step-by-step explanation:

Applying the Pythagoras Theorem:_

c^2 = a^2 + b^2

c^2 = 4^2 + 4^2

c^2 = 32

c = √32

c = 4√2

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Suppose that birth weights are normally distributed with a mean of 3466 grams and a standard deviation of 546 grams. Babies weig
Anon25 [30]

Answer:

3.84% probability that it has a low birth weight

Step-by-step explanation:

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.

In this problem, we have that:

\mu = 3466, \sigma = 546

If we randomly select a baby, what is the probability that it has a low birth weight?

This is the pvalue of Z when X = 2500. So

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3.84% probability that it has a low birth weight

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