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maks197457 [2]
2 years ago
6

A class of 50 students

Mathematics
2 answers:
Harman [31]2 years ago
7 0

Answer:

19

Step-by-step explanation:

because u do 50 times

pychu [463]2 years ago
4 0

Answer:

19

Step-by-step explanation:

50 x 38%

1900/100

19

only you need to get the percentage !

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1. Which expression is equivalent to the given expression? * -0.25 (84 – 32n) - n
Ira Lisetskai [31]
Hi! Multiply -0.25 by the inner numbers.

-0.25 times 84 = 21
-0.25 times -32n = -8n

Then take the -n and add that
21 -8n - n

-8n - n (or -1n) = -9n

therefore, answer would be a) 21 - 9n


7 0
2 years ago
A container of water holds 128 fluid ounces. Tyler drinks 4 fluid ounces of water every hour.
AlladinOne [14]

Answer:96

Step-by-step explanation: 4x8 = 32 so there will be 32 fluid ounces gone. subtract that from 128 to get 96.

7 0
3 years ago
PLZ HELP BRAINLIEST AND 20 POINTS
iris [78.8K]

Answer:

the last set

Step-by-step explanation:

hope this helps :) have a nice day !!

**please let me know if this was wrong**

7 0
3 years ago
Is my answer correct?
Yanka [14]

I would have used graph b. Because it shows the decrease more than graph a.

8 0
3 years ago
The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a st
Alinara [238K]

Answer:

There is a 0.82% probability that a line width is greater than 0.62 micrometer.

Step-by-step explanation:

Problems of normally distributed samples can be 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}

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. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.

In this problem

The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a standard deviation of 0.05 micrometer, so \mu = 0.5, \sigma = 0.05.

What is the probability that a line width is greater than 0.62 micrometer?

That is P(X > 0.62)

So

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

Z = \frac{0.62 - 0.5}{0.05}

Z = 2.4

Z = 2.4 has a pvalue of 0.99180.

This means that P(X \leq 0.62) = 0.99180.

We also have that

P(X \leq 0.62) + P(X > 0.62) = 1

P(X > 0.62) = 1 - 0.99180 = 0.0082

There is a 0.82% probability that a line width is greater than 0.62 micrometer.

3 0
2 years ago
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