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svetoff [14.1K]
3 years ago
12

Seattle, Washington is known for being very rainy. One day last month, 8 inches of rain fell in 1 1/2 hours. What is the rate of

rainfall expressed in feet per hour?
Mathematics
2 answers:
Leno4ka [110]3 years ago
8 0

Answer:

0.44ft/hr

Step-by-step explanation:

Given parameters:

Quantity of rainfall  = 8inches

            1ft  = 12inches

   so;

            \frac{8}{12}   = 0.67ft

Time  = \frac{3}{2}hr

Unknown:

Rate of rainfall expressed in ft/hr  = ?

Solution:

The rate of the rainfall is given as;

    Rate  = \frac{Quantity}{time}  

  Rate  = \frac{0.67ft}{\frac{3}{2} }    = 0.44ft/hr

Viktor [21]3 years ago
8 0

<h3>Given:-</h3>

Quantity of rainfall = 8inches

1ft = 12inches

\frac{8}{12}=0.67ft

Time =\frac{3}{2}hr

<h3>Find :-</h3>

Rate of rainfall expressed in ft/hr = ?

<h3>Solution:-</h3>

The rate of the rainfall is given as;

Rate = \frac{Quantity}{Time}hr

Rate = \frac{0.67}{3/2}

= 0.44ft/hr.

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It will be $2.50 for each pound of walnuts, and it will be $1 for each pound of chocolate chips.

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SAT scores are normed so that, in any year, the mean of the verbal or math test should be 500 and the standard deviation 100. as
vovangra [49]

Answer:

a) P(X>625)=P(\frac{X-\mu}{\sigma}>\frac{625-\mu}{\sigma})=P(Z>\frac{625-500}{100})=P(Z>1.25)

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b) P(400

P(-1

P(-1

c) z=-0.842

And if we solve for a we got

a=500 -0.842*100=415.8

So the value of height that separates the bottom 20% of data from the top 80% is 415.8.  

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".  

Part a

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

X \sim N(500,100)  

Where \mu=500 and \sigma=100

We are interested on this probability

P(X>625)

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>625)=P(\frac{X-\mu}{\sigma}>\frac{625-\mu}{\sigma})=P(Z>\frac{625-500}{100})=P(Z>1.25)

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

P(Z>1.25)=1-P(Z

Part b

We are interested on this probability

P(400

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(400

And we can find this probability with this difference:

P(-1

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(-1

Part c

For this part we want to find a value a, such that we satisfy this condition:

P(X>a)=0.8   (a)

P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.2 of the area on the left and 0.8 of the area on the right it's z=-0.842. On this case P(Z<-0.842)=0.2 and P(Z>-0.842)=0.8

If we use condition (b) from previous we have this:

P(X  

P(z

But we know which value of z satisfy the previous equation so then we can do this:

z=-0.842

And if we solve for a we got

a=500 -0.842*100=415.8

So the value of height that separates the bottom 20% of data from the top 80% is 415.8.  

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