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Rus_ich [418]
3 years ago
10

Use the parabola tool to graph the quadratic function f(x)=(x−2)(x−6) . Graph the parabola by first plotting its vertex and then

plotting a second point on the parabola.
Mathematics
1 answer:
stepan [7]3 years ago
3 0
Where's the so-called "parabola tool?"

The vertex is relatively easy to find.  Find the midpoint of the segment of the x-axis connecting x=2 and x=6; it is x=4.  Then evaluate the function at x=4:

f(4) = (4-2)(4-6) = 2(-2) = -4.  The vertex is at (4,-4).

Plot (4,-4).  Then (arbitrarily) let x=0 and find y:  f(0) = y = (-2)(-6) = -12.
So, when x = 0, y = -12.

Plot this point (1, -12).  realize that the parabola is symmetric about the line x=4.  (1,-12) is 3 units to the left of the axis of symm, and thus another point on the parab. is 3 units to the right of this axis, x= 7.  Plot (7,-12).  Now draw the parabola thru (7,-12), (1, -12) and (4, -4).  The parab. opens up.
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The delivery times for all food orders at a fast-food restaurant during the lunch hour are normally distributed with a mean of m
UkoKoshka [18]

Answer:

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

X \sim N(14.7,3.7)  

Where \mu=14.7 and \sigma=3.7

Since the distribution of 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}})

And we have;

\mu_{\bar X}= 14.70

\sigma_{\bar X} =\frac{3.7}{\sqrt{40}}= 0.59

Step-by-step explanation:

Assuming this question: The delivery times for all food orders at a fast-food restaurant during the lunch hour are normally distributed with a mean of 14.7 minutes and a standard deviation of 3.7 minutes. Let R be the mean delivery time for a random sample of 40 orders at this restaurant. Calculate the mean and standard deviation of \bar X Round your answers to two decimal places.

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

X \sim N(14.7,3.7)  

Where \mu=14.7 and \sigma=3.7

Since the distribution of 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}})

And we have;

\mu_{\bar X}= 14.70

\sigma_{\bar X} =\frac{3.7}{\sqrt{40}}= 0.59

4 0
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A soup can will have a radius of 4 cm and a
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Answer:

<h3>            It's about 365 cm²</h3>

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= 2×π×4² + 2π×4×10.5 =

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