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Tresset [83]
1 year ago
8

Find the slope of the line passing through the vertex and the y-intercept of the quadratic function

Mathematics
2 answers:
strojnjashka [21]1 year ago
6 0

Find y intercept

  • y=5(0)²+20(0)-7
  • y=0-7
  • y=-7

Point(0,-7)

Find vertex

x coordinate

  • -b/2a
  • -20/10
  • -2

y coordinate

  • y=5(4)-40-7
  • y=-27

Vertex at (-2,-27)

Slope

  • m=(-27+7)/-2-0
  • m=-20/-2
  • m=10
allsm [11]1 year ago
5 0

Answer:

10

Step-by-step explanation:

<h3><u>Vertex</u></h3>

The <u>x-coordinate</u> of the vertex of a <u>quadratic equation</u> in the form

f(x)=ax^2+bx+c\quad \textsf{is} \quad -\dfrac{b}{2a}

<u>Given function</u>:

f(x)=5x^2+20x-7

\implies a=5, \quad b=20, \quad c=-7

<u>x-coordinate of the vertex</u>

\implies -\dfrac{b}{2a}=-\dfrac{20}{2(5)}=-2

To find the <u>y-coordinate of the vertex</u>, substitute the found value of x into the function:

\begin{aligned}\implies f(-2) & =5(-2)^2+20(-2)-7\\& = 5(4)-40-7\\& = 20-47\\& = -27\end{aligned}

Therefore, the coordinates of the vertex are (-2, -27).

<h3><u>y-intercept</u></h3>

The y-intercept is when the curve <u>crosses the y-axis</u>, so when x = 0.

To find the y-coordinate of the y-intercept, substitute x = 0 into the function:

\begin{aligned}\implies f(0) & =5(0)^2+20(0)-7\\& = 0 + 0-7\\& = -7\end{aligned}

Therefore, the coordinates of the y-intercept are (0, -7).

<h3><u>Slope</u></h3>

To find the slope of the line passing through the <u>vertex</u> and the <u>y-intercept</u>, simply substitute the found points into the slope formula:

\implies \sf slope=\dfrac{change\:in\:y}{change\:in\:x}=\dfrac{-27-(-7)}{-2-0}=\dfrac{-20}{-2}=10

Therefore, the slope of the line passing through the vertex and the y-intercept of the given quadratic function is 10.

Learn more about slopes here:

brainly.com/question/27781455

brainly.com/question/27275173

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Step-by-step explanation:

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(0.767,0.833)

Step-by-step explanation:

The 95% confidence interval for population proportion p can be computed as

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Step-by-step explanation:

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Answer:

a) The 99% confidence interval would be given (0.204;0.296).

b) We have 99% of confidence that the true population proportion of all seafood sold in the country that is mislabeled or misidentified is between (0.204;0.296).  

c) No that's not true. Because the necessary assumptions and conditions for the confidence interval for the proportion are satisifed, so then we can use inferential statistics to interpret the interval to the population of interest.

Step-by-step explanation:

Part a

Data given and notation  

n=580 represent the random sample taken    

X represent the seafood sold in the country that is mislabeled or misidentified by the people

\hat p=0.25 estimated proportion of seafood sold in the country that is mislabeled or misidentified by the people

\alpha=0.01 represent the significance level (no given, but is assumed)    

p= population proportion of seafood sold in the country that is mislabeled or misidentified by the people

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".

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{\hat p(1-\hat 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}}

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And replacing into the confidence interval formula we got:

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And the 99% confidence interval would be given (0.204;0.296).

Part b

We have 99% of confidence that the true population proportion of all seafood sold in the country that is mislabeled or misidentified is between (0.204;0.296).  

Part c

A government spokesperson claimed that the sample size was too​ small, relative to the billions of pieces of seafood sold each​ year, to generalize. Is this criticism​ valid?

No that's not true. Because the necessary assumptions and conditions for the confidence interval for the proportion are satisifed, so then we can use inferential statistics to interpret the interval to the population of interest.

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