All categories

2 years ago

What is the distance between (-5,-5) and (-9,-2)

Mathematics

1 answer:

ollegr [7]2 years ago

5 0

Answer:

use the distance Formula D=sqrt of {(x1-x2)^2+(y1-y2)^2}

Step-by-step explanation:

So(-5--9)^2 + (-5- -2)^2 =

(4)^2 + (-3)^2 =

16 + 9 = 25

and the square root of 25 is 5.

5 is the answer

You might be interested in

If the sum of difference of 13 and 4 divided 64 and 8 is subtracted from the result. Find that number. Mathematical equation plz

natka813 [3]

Answer:

13+4=17,17/64=3-8=-5

Step-by-step explanation:

this is the solution

3 0

2 years ago

Read 2 more answers

Solve for x and y intercepts

Paladinen [302]

Answer:

X intercept is (-1,0)

Y intercept is (0,2)

Step-by-step explanation:

3 0

2 years ago

Read 2 more answers

A straight line is to a ruler as an angle is to: A. cosine B. two rulers C. protractor D. calculator

Lelechka [254]

Answer:

Protractor

Step-by-step explanation:

You use a ruler to draw a straight line.

You use a protractor to draw an angle.

8 0

3 years ago

Read 2 more answers

my teacher has 30 red apples and 40 green apples is she adds all of them together how many will she have

maksim [4K]

She will have 70 green apples

7 0

3 years ago

Read 2 more answers

A researcher wanted to see if giving a selective serotonin reuptake inhibitor (anti-depressant) would decrease the number of sel

Delvig [45]

Answer:

a. The mean of the sample is M=35.

The variance of the sample is s^2=39.125.

The standard deviation of the sample is s=6.255.

b. z=-1.6

c. SEM = 2.212

Step-by-step explanation:

The mean of the sample is M=35.

The variance of the sample is s^2=39.125.

The standard deviation of the sample is s=6.255.

Sample mean

$M=\dfrac{1}{8}\sum_{i=1}^{8}(27+25+32+40+43+37+35+38)\\\\\\ M=\dfrac{277}{8}=35$

Sample variance and standard deviation

$s^2=\dfrac{1}{(n-1)}\sum_{i=1}^{8}(x_i-M)^2\\\\\\s^2=\dfrac{1}{7}\cdot [(27-(35))^2+(25-(35))^2+(32-(35))^2+(40-(35))^2+(43-(35))^2+(37-(35))^2+(35-(35))^2+(38-(35))^2]\\\\\\$

$s^2=\dfrac{1}{7}\cdot [(58.141)+(92.641)+(6.891)+(28.891)+(70.141)+(5.64)+(0.14)+(11.39)]\\\\\ s^2=\dfrac{273.875}{7}=39.125\\\\\\s=\sqrt{39.125}=6.255$

b. If the population mean is 45, the z-score for M=35 would be:

$z=\dfrac{M-\mu}{\sigma}=\dfrac{35-45}{6.255}=\dfrac{-10}{6.255}=-1.6$

c. The standard error of the mean (SEM) of this group is calculated as:

$SEM=\dfrac{s}{\sqrt{n}}=\dfrac{6.255}{\sqrt{8}}=\dfrac{6.255}{2.828}=2.212$

4 0

3 years ago