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max2010maxim [7]
3 years ago
13

a sewage treatment plant has two inlet pipes to its settling pond. one piece can fill the pond 3 times as fast as the other pipe

, and together they can fill the pond in 12 hours. how long will it take the faster pipe to fill the pond alone
Mathematics
1 answer:
Mrac [35]3 years ago
8 0

Answer:

The faster pipe will take 16 hours to fill the pond alone

Step-by-step explanation:

* <em>Lets explain how to solve the problem</em>

- A sewage treatment plant has two inlet pipes to its settling pond

- One pipe can fill the pond 3 times as fast as the other pipe

∴ The rate of the faster pipe is 3 times the rate of the second pipe

- The rate and the time are inverse proportion because;

 time = job/rate and the job here is constant (fill pool), then

 time × rate = constant

∵ The rate of the faster pipe is 3 times the rate of the second pipe

∴ The time of the second pipe is 3 times the time of the faster pipe

- Assume that the time of the faster pipe is t

∵ The time of the faster pipe is t

∴ The time of the second pipe is 3t

- <u><em>Together they can fill the pond in 12 hours</em></u>

∴ \frac{1}{3t}+\frac{1}{t}=\frac{1}{12}

- The L.C.M of 3t and t is 3t

∴ \frac{1}{3t}+\frac{3}{3t}=\frac{1}{12}

∴ \frac{1+3}{3t}=\frac{1}{12}

∴ \frac{4}{3t}=\frac{1}{12}

- By using cross multiplication

∴ 48 = 3t

- Divide both sides by 3

∴ t = 16

∵ t represents the time of the faster pipe

∴ The time of the first pipe is 16  hours

* The faster pipe will take 16 hours to fill the pond alone

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Step-by-step explanation:

We will follow the following steps for converting a ratio into a percentage:

Step I: Obtain the ratio. Let the ratio be x : y

Step II: Convert the given ratio into the fraction x/y.

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Anna71 [15]

Answer:

91

Step-by-step explanation:

P(1) = 0.25

P(3) = 2P(2) = 3P(4)

P(5) = P(4) + 0.1 = P(6) − 0.1

The probabilities add up to 1:

1 = P(1) + P(2) + P(3) + P(4) + P(5) + P(6)

Write each probability in terms of P(4).

1 = 0.25 + 1.5P(4) + 3P(4) + P(4) + P(4) + 0.1 + P(4) + 0.2

1 = 0.55 + 7.5P(4)

0.45 = 7.5P(4)

P(4) = 0.06

Therefore, P(6) = P(4) + 0.2 = 0.26.

The expected value is the number of trials times the probability.

E = 350 × 0.26

E = 91

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A buyer went to the market to buy strawberries. He purchased 120 randomly selected strawberries from a vendor who claimed that n
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Answer:

z=\frac{0.333 -0.25}{\sqrt{\frac{0.25(1-0.25)}{120}}}=2.10  

p_v =P(z>2.10)=0.018  

At 5% of significance we can conclude that the true proportion of strawberries damage is higher than 0.25

Step-by-step explanation:

Data given and notation

n=120 represent the random sample taken

X=40 represent the number of strawberries damaged

\hat p=\frac{40}{120}=0.333 estimated proportion of strawberries damaged

p_o=0.25 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that no more than 25% of his total harvest of strawberries was damaged.:  

Null hypothesis:p\leq 0.25  

Alternative hypothesis:p > 0.25  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.333 -0.25}{\sqrt{\frac{0.25(1-0.25)}{120}}}=2.10  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>2.10)=0.018  

At 5% of significance we can conclude that the true proportion of strawberries damage is higher than 0.25

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3 years ago
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