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Zielflug [23.3K]
3 years ago
5

Find the distance between points P(3, -8) Q(7,4). Round to the nearest tenth if necessary

Mathematics
1 answer:
Gnom [1K]3 years ago
3 0

To calculate the distance between two points, we can use a formula that is a variation Pythagorean Theorem. Look:


\mathsf{d=\sqrt{(x_Q-x_P)^2+(y_Q-y_P)^2}}


"d" represents the distance and coordinates are expressed as follows: (x, y)


Let's go to the calculations.


\mathsf{d=\sqrt{(x_Q-x_P)^2+(y_Q-y_P)^2}}\\\\ \mathsf{d=\sqrt{(7-3)^2+(4-(-8))^2}}\\\\ \mathsf{d=\sqrt{(4)^2+(4+8)^2}}\\\\ \mathsf{d=\sqrt{16+(12)^2}}\\\\ \mathsf{d=\sqrt{16+144}}\\\\ \mathsf{d=\sqrt{160}}\\\\ \mathsf{d=12,649110640673...}\\\\ \underline{\mathsf{d\approxeq12,6}}



The answer is 12,6 u.c.

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Answer:

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Step-by-step explanation:

We have, ΔABC with ∠ABC = 90° and an altitude BH.

Also, it is given that the length of sides AH is 4 units and HC is 1 units.

Since, the 'Altitude Rule' states that 'the length of the altitude is the geometric mean of the line segments it bisects'.

So, we get that,

BH^{2}=AH\times HC

i.e. BH^{2}=4\times 1

i.e. BH^{2}=4

i.e. BH=\pm 2

Since, the length of the side cannot be negative.

So, length of BH is 2 units.

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Step-by-step explanation:

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Step-by-step explanation:

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Read 2 more answers
A tire manufacturer wants to estimate the average number of miles that may be driven in a tire of a certain type before the tire
alexandr402 [8]

Answer:

97% confidence interval for the average number of miles that may be driven is [26.78 miles, 33.72 miles].

Step-by-step explanation:

We are given that a random sample of tires is chosen and are driven until they wear out and the number of thousands of miles is recorded;

32, 33, 28, 37, 29, 30, 22, 35, 23, 28, 30, 36.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                                P.Q.  =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample average number of miles = \frac{\sum X}{n} = 30.25

            s  = sample standard deviation = \sqrt{\frac{\sum (X-\bar X)^{2} }{n-1} } = 4.71

            n = sample of tires = 12

            \mu = population average number of miles

<em>Here for constructing a 97% confidence interval we have used One-sample t-test statistics as we don't know about population standard deviation.</em>

<u>So, 97% confidence interval for the population mean, </u>\mu<u> is ;</u>

P(-2.55 < t_1_1 < 2.55) = 0.97  {As the critical value of t at 11 degrees of

                                              freedom are -2.55 & 2.55 with P = 1.5%}  

P(-2.55 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 2.55) = 0.97

P( -2.55 \times {\frac{s}{\sqrt{n} } } < {\bar X-\mu} < 2.55 \times {\frac{s}{\sqrt{n} } } ) = 0.97

P( \bar X-2.55 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X+2.55 \times {\frac{s}{\sqrt{n} } } ) = 0.97

<u>97% confidence interval for</u> \mu = [ \bar X-2.55 \times {\frac{s}{\sqrt{n} } } , \bar X+2.55 \times {\frac{s}{\sqrt{n} } } ]

                                        = [ 30.25-2.55 \times {\frac{4.71}{\sqrt{12} } } , 30.25+2.55 \times {\frac{4.71}{\sqrt{12} } } ]

                                        = [26.78 miles, 33.72 miles]

Therefore, 97% confidence interval for the average number of miles that may be driven is [26.78 miles, 33.72 miles].

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4 years ago
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