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fgiga [73]
3 years ago
14

A fish tank is filled with water.The tank holds 150 gallons.Each cubic foot of water contains about 7.5 gallons.The rank is 5 fe

et long and 3 feet high.what is the width of the tank
Mathematics
1 answer:
san4es73 [151]3 years ago
6 0

Answer:

Width = 1\frac{1}{3} ft

Step-by-step explanation:

The tank holds 150 gallons of water.

7.5 gallons holds 1 ft³ of water.

So 150 gallons will hold;

\frac{150}{7.5} × 1 ft³ = 20 ft³

The volume of the tank = Length(l) × Width(w) × Height(h) = 20 ft³

i.e 5 ft × w × 3 ft = 20 ft³

15w ft² = 20 ft³

w = \frac{20 ft^3}{15 ft^2} =  1\frac{1}{3} ft

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The average maximum monthly temperature in Campinas, Brazil is 29.9 degrees Celsius. The standard deviation in maximum monthly t
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Answer:

P(X>32)=P(\frac{X-\mu}{\sigma}>\frac{32-\mu}{\sigma})=P(Z>\frac{32-29.9}{2.31})=P(z>0.909)

And we can find this probability with the complement rule and using the normal standard distributon table or excel we got:

P(z>0.909)=1-P(z

And if we convert this to a % we got 18.2 % of maximum temperatures higher or equal than 32 C

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the maximum monthly temperature of a population, and for this case we know the distribution for X is given by:

X \sim N(29.9,2.31)  

Where \mu=29.9 and \sigma=2.31

We are interested on this probability

P(X>32)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>32)=P(\frac{X-\mu}{\sigma}>\frac{32-\mu}{\sigma})=P(Z>\frac{32-29.9}{2.31})=P(z>0.909)

And we can find this probability with the complement rule and using the normal standard distributon table or excel we got:

P(z>0.909)=1-P(z

And if we convert this to a % we got 18.2 % of maximum temperatures higher or equal than 32 C

8 0
3 years ago
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