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fiasKO [112]
2 years ago
9

A swimming pool holds 250,000 gallons of water and is being drained at 200 gallons per minute. How many gallons remain in the po

ol after 5 minutes than after 20 minutes?
Mathematics
2 answers:
seropon [69]2 years ago
6 0

Answer:

After 5 minutes, the pool will hold 249,00 gallons of water.

After 20 minutes, the pool will hold 246,000 gallons of water.

nataly862011 [7]2 years ago
4 0
After 5 minutes the pool will have 249,000 gallons since 5x200=1000 and 250,000-1000=249,000.
After 20 minutes it will be at 246,000 gallons since 20x200=4000 and 250,000-4000= 246,000.
Hope this helps :)
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5x – 24 &gt; 26 <br> what is the solution to the inequality?
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Answer:

x > 10

Step-by-step explanation:

5x - 24 > 26

Add 24 on both sides.

5x -24 + 24 > 26 + 24

5x > 50

Divide by 5 on both sides.

x > 50 ÷ 5

Find x.

x > 10

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Help! What can we do to kill off the zombies?? The scientists realize that salt kills the zombies, if enough is poured on them (
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Step-by-step explanation:

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P(X&lt; ) 1-P(X&gt; ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

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}

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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
2 years ago
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