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timama [110]
3 years ago
13

Find an equation for the line that passes through the points , −6−5 and , 41 .

Mathematics
1 answer:
Ivanshal [37]3 years ago
5 0
<h3>Answer:</h3>

3x-5y=7

<h3>Step-by-step explanation:</h3>

One way to write the equation of a line through two points is ...

... ∆y(x -x1) -∆x(y -y1) = 0

Here, ∆y = 1 -(-5) = 6, and ∆x = 4 -(-6) = 10. These two numbers have a common factor of 2 that can be removed, so we can use the values ...

... ∆y = 3, ∆x = 5 and fill in our equation as ...

... 3(x +6) -5(y +5) = 0 . . . using (-6, -5) for (x1, y1)

... 3x -5y -7 = 0 . . . . . . . . simplify; general form equation

... 3x -5y = 7 . . . . . . . . . . standard form equation

_____

<em>Comment on 2-point form</em>

Perhaps you more usually see the 2-point form of the equation of a line written as ...

... y -y1 = (y2 -y1)/(x2 -x1)·(x -x1)

If you call y2-y1 = ∆y and x2-x1 = ∆x, then you can multiply by ∆x to get

... ∆x(y -y1) = ∆y(x -x1) . . . . . this might be an easy form to remember

Subtracting the left side gives the form we used above:

... ∆y(x -x1) -∆x(y -y1) = 0

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If a manufacturer conducted a survey among randomly selected target market households and wanted to be 95​% confident that the d
katen-ka-za [31]

Answer:

We need a sample size of least 119

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

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The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

Sample size needed

At least n, in which n is found when M = 0.09

We don't know the proportion, so we use \pi = 0.5, which is when we would need the largest sample size.

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.09 = 1.96\sqrt{\frac{0.5*0.5}{n}}

0.09\sqrt{n} = 1.96*0.5

\sqrt{n} = \frac{1.96*0.5}{0.09}

(\sqrt{n})^{2} = (\frac{1.96*0.5}{0.09})^{2}

n = 118.6

Rounding up

We need a sample size of least 119

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