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sashaice [31]
3 years ago
12

Find the distance between the pair of points (4,-2) and (-5,2).

Mathematics
1 answer:
Olenka [21]3 years ago
5 0

Answer:

9.85 units

Step-by-step explanation:

^ rounded to the nearest hundreth

using the distance formula

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PRECAL PLEASE HELP!!!!
vivado [14]

Answer:

am going with A. because it's not D or C

Step-by-step explanation:

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3 years ago
What is an acquisition fee?
pantera1 [17]

A lessor charges an acquisition fee to cover any expenses they incur while arranging a lease. Acquisition fees can sometimes also refer to charges and commissions that someone pays for the acquisition or purchase of property

8 0
3 years ago
I bet you want Brainlest!! Click HERE!!!<br> Please help me!!!<br> BRaNiElsT!!!!!<br> Click!!!
saw5 [17]

Answer:

B) X = 90

Step-by-step explanation:

If you plug in every answer choice as "X," you can easily find which answer helps the equation equal 40.

EX. 1/2 (or 0.50) times 90 plus -4 equals 41!

Equation with "X" filled in as 90 :

41 = 1/2 x 90 + (-4)!!!

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6 0
3 years ago
The clearance between a pin and the collar around it is important for the proper performance of a disc drive for small computers
hichkok12 [17]

Answer:

(a) The distribution of (Y - X) is <em>N</em> (0.001, 0.0005).

(b) The probability that the pin will not fit inside the collar is 0.023.

Step-by-step explanation:

The random variable <em>X</em> is defined as the diameter of the pin and the random variable <em>Y</em> is defined as the diameter of the collar.

The distribution of <em>X</em> and <em>Y</em> is:

X\sim N(0.525, 0.0003)\\Y\sim N(0.526, 0.0004)

The random variables <em>X</em> and <em>Y</em> are independent of each other.

(a)

Compute the expected value of (Y - X) as follows:

E(Y-X)=E(Y)-E(X)=0.526-0.525=0.001

The mean of (Y - X) is 0.001.

Compute the variance of (Y - X) as follows:

V(Y-X)=V(Y)+V(X)-2Cov(X,Y)\\=V(Y)+V(X);\ X\ and\ Y\ are\ independent\\=0.0003^{2}+0.0004^{2}\\=0.00000025

SD(Y-X)=\sqrt{0.00000025}=0.0005

The standard deviation of (Y - X) is 0.0005.

Thus, the distribution of (Y - X) is <em>N</em> (0.001, 0.0005).

(b)

Compute the probability of [(Y - X) ≤ 0] as follows:

P(Y-X\leq 0)=P(\frac{(Y-X)-\mu_{Y-X}}{\sigma_{Y-X}}\leq \frac{0-0.001}{0.0005})=P(Z

*Use a <em>z</em>-table for the probability value.

Thus, the probability that the pin will not fit inside the collar is 0.023.

8 0
3 years ago
The weights of certain machine components are normally distributed with a mean of 5.19 ounces and a standard deviation of 0.05 o
Brums [2.3K]

Answer:

The  weight that separate the top 8% by 5.2605 and the weight that separate bottom 8% by 5.1195.

Step-by-step explanation:

We are given that

Mean,\mu=5.19

Standard deviation,\sigma=0.05

We have to find the two weights that separate the top 8% and the bottom 8%.

Let x1 and x2 the two weights that separate the top 8% and the bottom 8%.

Z-value for p-value =0.08 =-1.41

For 8% bottom

Z=\frac{x_1-\mu}{\sigma}=-1.41

\frac{x_1-5.19}{0.05}=-1.41

x_1-5.19=-1.41\times 0.05

x_1=-1.41\times 0.05+5.19

x_1=5.1195

For 8% top

p-Value=1-0.08=0.92

Z- value=1.41

Now,

\frac{x_2-5.19}{0.05}=1.41

x_2-5.19=1.41\times 0.05

x_2=1.41\times 0.05+5.19

x_2=5.2605

(x1,x2)=(5.1195,5.2605)

4 0
3 years ago
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