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2 years ago

Find the distance between the points (6,-4) and (6,3)

Mathematics

2 answers:

gregori [183]2 years ago

5 0

Answer:

Step-by-step explanation:

3 - (-4) = 7

Charra [1.4K]2 years ago

3 0

Answer:

distance between points=7 units

Step-by-step explanation:

distance between points $(x_1,y_1)$ and $(x_2,y_2)$

distance between points= $\sqrt{(x_2-x_1)^2+(y_2-y_1)^2}$

here, $( x_1,y_1)$ =(6,-4) and $(y_1,y_2)$ =(6,3)

distance between points= $\sqrt{(6-6)^2+(3+4)^2}$

distance between points = $\sqrt{(0)^2+(7)^2}$

distance between points =7 units answer

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Helpppp idkkkkk thisssss

Daniel [21]

Yea, it’s 180cm^3

V=bh
V= 20cm • 9cm
V=180cm^3

Have a good day :)

4 0

2 years ago

B is the midpoint of AC Find AB, BC and AC.

kramer

Step-by-step explanation:

Since B is the midpoint of AC. So,

AB = BC

12x - 12 = 4x + 28

12x - 4x = 28 + 12

8x = 40

x = 40/8

x = 5

Now,

AB = BC = 4(5) + 28

= 20 + 28

= 48 cm

Now

AC = AB + BC

AC = 48 + 48

AC = 96 cm

8 0

2 years ago

In the diagram, m angle SUR =32 degrees. Find mRS and m angle STR.

igomit [66]

Because SUR=32, then RS must be 32 and because STR=64. You could also tell this because the shape in the circle is not perfectly symmetrical

3 0

2 years ago

Is 0 greater than -1?

Marina CMI [18]

Explanation:

To find if 0 is greater than -1 we can graph these values on a number line. If 0 is to the left of -1 then is less than -1, if it's to the right, then it's greater than -1:

Answer:

Yes, 0 is greater than -1.

4 0

1 year ago

Read 2 more answers

Since the area under the normal curve within two standard deviations of the mean is 0.95, the area under the normal curve that c

alukav5142 [94]

Answer:

$X \sim N (\mu ,\sigma)$

And for this case we know this condition:

$P(\mu-2\sigma$

By the complement rule we know that:

$P(X< \mu -2\sigma \cup X>\mu +2\sigma) = 1-0.95=0.05$

But since the distribution is symmetrical we know that:

$P(X\mu +2\sigma) = 0.025$

So then the statement for this case is FALSE.

b. False

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solution to the problem

For this case if we define the random variable of interest X and we know that this random variable follows a normal distribution:

$X \sim N (\mu ,\sigma)$

And for this case we know this condition:

$P(\mu-2\sigma$

By the complement rule we know that:

$P(X< \mu -2\sigma \cup X>\mu +2\sigma) = 1-0.95=0.05$

But since the distribution is symmetrical we know that:

$P(X\mu +2\sigma) = 0.025$

So then the statement for this case is FALSE.

b. False

5 0

3 years ago