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Bezzdna [24]
2 years ago
11

Suppose a soccer goalie punted the ball in such a way as to kick the ball as far as possible down the field. The height of the b

all above the field can be approximated by the function below where y represents the height of the ball (in yards) and x represents the horizontal distance (in yards) down the field from where the goalie kicked the ball.y=0.017x^{2} +0.98x+0.33
How far away did the ball land? Estimate to 2 places after the decimal.
Mathematics
1 answer:
Alexxx [7]2 years ago
8 0

Answer:

57.98 yards

Step-by-step explanation:

When the ball is on the ground, the height is y=0, therefore:

y=-0.017x^2+0.98x+0.33

0=-0.017x^2+0.98x+0.33

x=\frac{-b\pm\sqrt{b^2-4ac}}{2a}

x=\frac{-0.98\pm\sqrt{0.98^2-4(-0.017)(0.33)}}{2(-0.017)}

x_1=57.98184919

x_2=-0.3347903693

Since distance cannot be negative, the ball landed 57.98 yards down the field from where the goalie kicked the ball.

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vivado [14]

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3.46%

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I 5 The sum 1 + 9 + 3 + 3 + i + 2 gives the amount of mix. 1+ 2+ 3+3+1+1
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Answer:

i = -7

Step-by-step explanation:

1) Set up equation

1+9+3+3+i+2 = 1+2+3+3+1+1

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3) Factor out for the answer

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Hopefully this helps you!

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3 years ago
Emissions of sulfur dioxide by industry sett off chemical changes in the atmosphere that result in "acid rain". The acidity of l
horsena [70]

Answer:

Case n =5

z=\frac{4.8-5}{\frac{0.5}{\sqrt{5}}}=-0.894  

Case n =15

z=\frac{4.8-5}{\frac{0.5}{\sqrt{15}}}=-1.549  

Case n = 40

z=\frac{4.8-5}{\frac{0.5}{\sqrt{40}}}=-2.530  

P value

Case n =5

p_v =P(z  

Case n =15

p_v =P(z  

Case n =40

p_v =P(z  

Step-by-step explanation:

Data given and notation  

\bar X=4.8 represent the sample mean

\sigma=0.5 represent the population standard deviation

n sample size  

\mu_o =5 represent the value that we want to test  

\alpha represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is lower than 5, the system of hypothesis would be:  

Null hypothesis:\mu \geq 5  

Alternative hypothesis:\mu < 5  

Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic  

We can replace in formula (1) the info given like this:  

Case n =5

z=\frac{4.8-5}{\frac{0.5}{\sqrt{5}}}=-0.894  

Case n =15

z=\frac{4.8-5}{\frac{0.5}{\sqrt{15}}}=-1.549  

Case n = 40

z=\frac{4.8-5}{\frac{0.5}{\sqrt{40}}}=-2.530  

P-value  

Since is a left tailed test the p value would be:  

Case n =5

p_v =P(z  

Case n =15

p_v =P(z  

Case n =40

p_v =P(z  

5 0
4 years ago
Alice sold candy for a school fundraiser. Chocolate bars sold for$2.25 a piece, bags of chocolate covered peanuts sold for$1.85
Rzqust [24]

Answer:

12 bags

Step-by-step explanation:

2.25 × 9 = 20.25

.50 × 10 = 5

20.25 + 5 = 25.25

47.45 - 25.25= 22.2

22.2 ÷ 1.85 = 12

8 0
3 years ago
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