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skad [1K]
2 years ago
15

The function f(x) = −0.002x2 + 0.66x models the path of a softball that is hit for a home run, where f(x) gives the height of th

e ball and x gives the distance from where it is hit in feet.
a. How far does the ball travel before hitting the ground?
b. How high does the ball go?
c. What is a reasonable domain and range for a home run modeling function?
Mathematics
1 answer:
Alla [95]2 years ago
4 0

Answer:

a) 0 = x(-0.002 x +0.66)

So then we see that x =0 or x = \frac{0.66}{0.002}=330

So then we can say that the ball travels 330 ft before hitting the ground

b) For this case we want to find the maximum of this function and since the coeffcient for the x^2 term is negative if we find the vertex we find the maximum, the x coordinate for the vertex from a quadratic function y= ax^2 +bx+c is given by:

V_x = -\frac{b}{2a}= -\frac{0.66}{2*(-0.002)}=165 ft

And for the y coordinate we have:

f(V_x) = -0.002(165^2) +0.66(165) = 54.45 ft

So then the maximum height for this case would be 54.45.

c) For this case the function makes sense for values of f(x) \geq 0

And for this function we satisfy this condition with domain x \in [0,330] and the range y \in [0,54.45]

Step-by-step explanation:

For this case w ehave the following function:

f(x) = -0.002 x^2 +0.66 x

Where f(x) gives the height of the ball and x gives the distance from where it is hit in feet

Part a

For this case we want to find when f(x) =0 so we can do this:

0 = -0.002 x^2 +0.66 x

We can take common factor x like this:

0 = x(-0.002 x +0.66)

So then we see that x =0 or x = \frac{0.66}{0.002}=330

So then we can say that the ball travels 330 ft before hitting the ground

Part b

For this case we want to find the maximum of this function and since the coeffcient for the x^2 term is negative if we find the vertex we find the maximum, the x coordinate for the vertex from a quadratic function y= ax^2 +bx+c is given by:

V_x = -\frac{b}{2a}= -\frac{0.66}{2*(-0.002)}=165 ft

And for the y coordinate we have:

f(V_x) = -0.002(165^2) +0.66(165) = 54.45 ft

So then the maximum height for this case would be 54.45.

Part c

For this case the function makes sense for values of f(x) \geq 0

And for this function we satisfy this condition with domain x \in [0,330] and the range y \in [0,54.45]

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Pada suatu deret geometri diketahui suku ke-3 = 18 dan suku ke-6 = 486. suku pertama pada deret tersebut adalah...
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A . r^(3-1) = 18
a . r^2 = 18...... (i)

a . r^(6-1) = 486
a . r^5 = 486 ...... (ii)

dengan membuat perbandingan dari kedua persamaan diperoleh:
r^2/r^5 = 18/486
1/r^3 = 1/27 
r^3 = 27
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dari persamaan <span>a . r^2 = 18...... (i)
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1 year ago
Hard times In June 2010, a random poll of 800 working men found that 9% had taken on a second job to help pay the bills. (www.ca
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Answer:

a) The 95% confidence interval would be given (0.0702;0.1098).

We can conclude that the true population proportion at 95% of confidence is between (0.0702;0.1098)

b) Since the confidence interval NOT contains the value 0.06 we  have anough evidence to reject the claim at 5% of significance.  

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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".  

p represent the real population proportion of interest  

\hat p =0.09 represent the estimated proportion for the sample  

n=800 is the sample size required  

z represent the critical value for the margin of error  

Confidence =0.95 or 95%

Part a

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})  

The confidence interval would be given by this formula  

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}  

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=1.96  

The margin of error is given by :

Me=z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

Me=1.96 \sqrt{\frac{0.09(1-0.09)}{800}}=0.0198

And replacing into the confidence interval formula we got:  

0.09 - 1.96 \sqrt{\frac{0.09(1-0.09)}{800}}=0.0702  

0.09 + 1.96 \sqrt{\frac{0.108(1-0.09)}{800}}=0.1098  

And the 95% confidence interval would be given (0.0702;0.1098).

We can conclude that the true population proportion at 95% of confidence is between (0.0702;0.1098)

Part b

Since the confidence interval NOT contains the value 0.06 we  have anough evidence to reject the claim at 5% of significance.

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Answer:

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Step-by-step explanation:

we know that

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step 1

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The area of semicircle is equal to

A=\frac{1}{2}\pi r^{2}

where

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substitute

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step 2

Find the area of the circle inside the semicircle

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A=\pi r^{2}

where

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substitute

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step 3

Find the shaded area

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Answer:

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Step-by-step explanation:

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rye or white bread: 2 options

ham or turkey: 2 options

cheese or no cheese: 2 options

So the number of different sandwiches that can be made is 2*2*2 = 8.

From these 8 different sandwiches, 4 have cheese and 4 have no cheese, as the staff made a equal number of each type of sandwich.

So, if from 8 different type of sandwiches, 4 have cheese, the chances of Mary getting a sandwich with cheese is 4/8 = 1/2 (1 half).

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