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WITCHER [35]
2 years ago
11

6. It took Juan 48 minutes to drive 12 miles, Calculate his speed in miles per hour,

Mathematics
1 answer:
GREYUIT [131]2 years ago
3 0

Answer:

15 miles per hour

Step-by-step explanation:

First, lets find the number of miles he goes in 1 minutes.

That would be found by dividing the number of miles (12) by the number of minutes (48), so we have:

12/48 = 0.25 miles per minute

We want the speed in miles PER HOUR.

So, how many minutes are in an hour??

That is 60 mins = 1 hr

So, we need to multiply this by 60.So,

0.25 miles per minute * 60 minutes (1 hr) = 15 miles per hour

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I strongly disagree bc it was an corporation for the public in 1995
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Which classification best describes the following system of equations?
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Inconsistent and dependent

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A random sample of 36 observations has been drawn from a normal distribution with mean 50 and standard deviation 12. Find the pr
Gre4nikov [31]

Answer:

z= \frac{47 -50}{\frac{12}{\sqrt{36}}}=-1.5

z= \frac{53 -50}{\frac{12}{\sqrt{36}}}=1.5

And using a calculator, excel ir the normal standard table we have that:

P(47 \leq \bar X \leq 53) =P(-1.5 \leq Z \leq 1.5)

And we can calculate the probability like this:P(-1.5 \leq Z \leq 1.5) = P(zStep-by-step explanation:

A random sample of 36 observations has been drawn from a normal distribution with mean 50 and standard deviation 12. Find the probability that the sample mean is in the interval 47<=X<53. Is the assumption of normality important. Why?

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 variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(50,12)  

Where \mu=50 and \sigma=12

Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

We can find the probability required like this:

z= \frac{47 -50}{\frac{12}{\sqrt{36}}}=-1.5

z= \frac{53 -50}{\frac{12}{\sqrt{36}}}=1.5

And using a calculator, excel ir the normal standard table we have that:

P(47 \leq \bar X \leq 53) =P(-1.5 \leq Z \leq 1.5)

And we can calculate the probability like this:

P(-1.5 \leq Z \leq 1.5) = P(z

4 0
2 years ago
Kyle collects rainwater in two barrels. Last week one barrel collected 1.46 gallons of rainwater. The other barrel collected 0.7
hram777 [196]
We’re given two numbers - 1.46 and 0.751 - and since we know that they were both collected last week (although from two separate barrels), we want to add these two numbers up. Aligning the numbers up ( for example, the 1 in 1.46 should align with the 0 in 0.751 because they’re both in the ones place, or the place before the decimal), we get

1.46
+0.751
————
-.—1
To fill in the blanks, we want to start by adding the 6 and 5, which is 11. Since the first digit of 11 is 1, we can carry the 1 into the space to the left to get

1
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Feel free to ask further questions!

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2 years ago
Complete the statements about the key features of the graph of f(x) = x5 – 9x3. As x goes to negative infinity, f(x) goes to neg
Mars2501 [29]
The function is f(x)= x^{5} -9x ^{3}

1. let's factorize the expression x^{5} -9x ^{3}:

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the zeros of f(x) are the values of x which make f(x) = 0.

from the factorized form of the function, we see that the roots are:

-3, multiplicity 1
3, multiplicity 1
0, multiplicity 3

(the multiplicity of the roots is the power of each factor of f(x) )


2.  
The end behavior of f(x), whose term of largest degree is x^{5}, is the same as the end behavior of  x^{3}, which has a well known graph. Check the picture attached. 

(similarly the end behavior of an even degree polynomial, could be compared to the end behavior of x^{2})

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