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sergey [27]
3 years ago
15

Find the distance between each pair of points 8) (2, 6), (5, 10) 9) (-3,-10), (-3,5)

Mathematics
1 answer:
Lapatulllka [165]3 years ago
4 0

Answer:

8) answer=5 9)answer=15

Step-by-step explanation:

all you have to do is replace in the following formula

\sqrt{(x2-x1)^{2}+ (y2-y1)^{2}} =d

Where

X1: is the first number of the first point

Y1: is the second number of the first point

X2:  is the first number of the second point

Y2: is the second number of the second point

you replace in the formula and solve

I attach solution

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A livestock company reports that the mean weight of a group of young steers is 1143 pounds with a standard deviation of 88 pound
malfutka [58]

Answer:

<em>a) P(x<1200)=74.14%</em>

<em>b) P(1100<X<1250)=57.54%</em>

Step-by-step explanation:

<u>Normal Distribution</u>

The normal distribution, also known as the bell curve, is a distribution that occurs naturally in many situations of life. We use the model N(\mu,\sigma) to understand the behavior of some real-life variables. Where \mu is the mean value and \sigma is the standard deviation.

In our case, we have

\mu=1143,\ \sigma=88

And are required to find the percentage of steers whose weigh lie within a given range. We must use some sort of table or digital means to compute the values because the normal distribution cannot be calculated directly by a formula. We use the NORMDIST (or NORM.DIST) formula for Excel which gives us the left tail of the area behind the bell curve, i.e. the cumulative percentage for a give value of X. The formula has the form

NORM.DIST(x,mean,standard_dev,cumulative)

a) X<1200

The formula is used with the following parameters

NORM.DIST(1200,1143,88,true)

and we get

P(X

b) We need to compute P(1100<X<1250). To do this, we calculate both left tails and the subtract them

NORM.DIST(1100,1143,88,true)=0.3125

NORM.DIST(1250,1143,88,true)=0.8880

P(1100

\boxed{P(1100

6 0
3 years ago
What is the slope of the graph y=-1
pochemuha
This is a horizontal line passing through  the point (0,-1).

Slope = zero.
4 0
3 years ago
What is the slope intercept equation for a parallel line through (1,3), parallel to y=2x+5
Daniel [21]

Answer:

the desired line is y = 2x+1

Step-by-step explanation:

A line parallel to y=2x+5 has a very similar equation.  All we have to do here is to write y=2x+5 as y=2x+b and find b for x = 1 and y = 3.

Replacing y with 3 and x with 1, we get 3 = 2(1) + b.  Then b = 1, and the desired line is y = 2x+1

7 0
3 years ago
Which equation has a solution of r = 1/3
kkurt [141]

Answer:

Step-by-step explanation:

Any equation, for example 2r =2/3

7 0
3 years ago
The following data show the brand, price ($), and the overall score for 6 stereo headphones that were tested by Consumer Reports
Olenka [21]

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

SST = 1800

SSR = 1512.376

SSE = 287.624

b

coefficient of determination  is r^2 \approx 0.8402

What this is telling us is that 84.02% variation in dependent variable y can be fully explained by variation in the independent variable x

c

The correlation coefficient is   r = 0.917

Step-by-step explanation:

The table shown the calculated mean is shown on the second uploaded image

Let first define some term

SST (sum of squares total) : This is the difference between the noted dependent variable and the mean of this noted dependent variable

SSR(sum of squared residuals) : this can defined as a predicted shift from the actual observed values of the data  

SSE (sum of squared estimate of errors): this can be defined as the  sum of the square difference between the observed value and its mean

From the table

  SST = SS_{yy} = 1800

  SSR = \frac{SS^2_{xy}}{SS_{xx}} = \frac{4755^2}{14950} = 1512.376

  SSE =SST-SSR

          =1800 - 1512.376

           = 287.62

The coefficient of determination is mathematically represented as

               r^2 = \frac{SSR}{SST}

                    = 1-\frac{SSE}{SST}

                   r^2= 1-\frac{287.6237}{1800}

                  r^2 \approx 0.8402

The correlation coefficient is mathematically represented as

           r = \pm\sqrt{r^2}

Substituting values

            r = \sqrt{0.84020}

               r = 0.917

this value is + because the value of the coefficient of x in estimated regression equation(24.9 + 0.301x,) is positive

         

5 0
3 years ago
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