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Cloud [144]
3 years ago
15

The temperature falls from 0 degrees to -12 1/4 degrees in 3 1/2 hours. Which expression finds the change in temperature per hou

r?
Mathematics
2 answers:
Varvara68 [4.7K]3 years ago
4 0

Answer:

Change in temperature per hour = 3.5°C/hr

Step-by-step explanation:

The temperature falls from 0 degrees to -12 1/4 degrees in 3 1/2 hours.

Change in temperature,

                 \Delta T=0-\left ( -12\frac{1}{4}\right )=0+\frac{12\times 4+1}{4}=\frac{49}{4}

Time taken

                t=3\frac{1}{2}=\frac{3\times 2+1}{2}=\frac{7}{2}hours

\texttt{Change in temperature per hour}=\frac{\Delta T}{t}=\frac{\frac{49}{4}}{\frac{7}{2}}=\frac{98}{28}\\\\\texttt{Change in temperature per hour}=\frac{49}{14}=\frac{7}{2}=3.5^0C/hr

Change in temperature per hour = 3.5°C/hr        

ivolga24 [154]3 years ago
3 0

Answer:

-7/2 degrees per hour

Step-by-step explanation:

Divide the total change (-12 1/4 degrees) by the total time elapsed (3 1/2 hrs):

-49/4 degrees          -49(2)

------------------------ = ------------- = -7/2 degrees per hour

    7/2 hrs                   4(7)


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A brewery produces cans of beer that are supposed to contain exactly 12 ounces. But owing to the inevitable variation in the fil
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T \sim N (\mu = 6*12=72 , \sigma= \sqrt{6} *0.3=0.735)

P(T \leq 72) = P(Z< \frac{72-72}{0.735}) = P(Z

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".  

Solutio to the problem

Let X the random variable that represent the amount of beer in each can of a population, and for this case we know the distribution for X is given by:

X \sim N(12,0.3)  

Where \mu=12 and \sigma=0.3

For this case we select 6 cans and we are interested in the probability that the total would be less or equal than 72 ounces. So we need to find a distribution for the total.

The definition of sample mean is given by:

\bar X = \frac{\sum_{i=1}^n X_i}{n} = \frac{T}{n}

If we solve for the total T we got:

T= n \bar X

For this case then the expected value and variance are given by:

E(T) = n E(\bar X) =n \mu

Var(T) = n^2 Var(\bar X)= n^2 \frac{\sigma^2}{n}= n \sigma^2

And the deviation is just:

Sd(T) = \sqrt{n} \sigma

So then the distribution for the total would be also normal and given by:

T \sim N (\mu = 6*12=72 , \sigma= \sqrt{6} *0.3=0.735)

And we want this probability:

P(T\leq 72)

And we can use the z score formula given by:

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

P(T \leq 72) = P(Z< \frac{72-72}{0.735}) = P(Z

6 0
3 years ago
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