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Marina86 [1]
3 years ago
13

Juan ha leído ya la quinta parte de un

Mathematics
1 answer:
OlgaM077 [116]3 years ago
3 0

Answer:

I don't speak Spanish. It would be helpful if you could translate to English :)

Step-by-step explanation:

Question translated:

Juan has already read the fifth part of a

book. When I read 90 more pages, still

He will have half the book left. How many

pages does the book have? How many pages

have you read?

This doesn't make sense:)

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Please give me the correct answer.​
Agata [3.3K]

Answer:

The first graph.

Step-by-step explanation:

Algebra Calculator.

8 0
3 years ago
Read 2 more answers
3.) Simplify the expression by combining like
Evgesh-ka [11]

45s^2-19-s^2+16\\=45s^2-s^2-19+16\\=s^2(45-1)-19+16\\=44s^2+(-19+16)\\=44s^2-3

Hope that helps and hope you get better!

3 0
2 years ago
Assume that blood pressure readings are normally distributed with a mean of 115 and a standard deviation of 8. If 100 people are
Sergeu [11.5K]

Answer:

D. 0.9938.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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.

Mean of 115 and a standard deviation of 8.

This means that \mu = 115, \sigma = 8

100 people are randomly selected

This means that n = 100, s = \frac{8}{\sqrt{100}} = 0.8

Find the probability that their mean blood pressure will be less than 117.

This is the p-value of Z when X = 117, so:

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

By the Central Limit Theorem

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

Z = \frac{117 - 115}{0.8}

Z = 2.5

Z = 2.5 has a p-value of 0.9938, and thus, the correct answer is given by option D.

8 0
3 years ago
Of is directly proportional toy and x = 45 when
kompoz [17]

Answer:

if x=ky, where k is constant.

value of x

45/3=k3/3

15=k, constant is 15

value of x when y =6

x=ky

x=15(6)

x=80

4 0
3 years ago
How do you write 2,252/ 1,000 as a percentage?
REY [17]
225% 2252/1000 is a fraction so you divide and get 2.25 and move the decimal point over two to the right. 
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