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Helga [31]
3 years ago
5

What’s the distance between (-2,7) and (7,9)

Mathematics
1 answer:
kap26 [50]3 years ago
8 0

Answer:

The distance is 9 (Sorry if i'm wrong)

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According to the line plot, what is the total weight gained by the dogs that gained 1/8 f a pound or 3/4 of a pound?
erik [133]

3 1/8

First you take the all the dogs that gained 3/4 (which is 4)
Then you multiply it by 4

3/4x4=3
Then you add the dogs that gained 1/8 of a pound

3+1/8=3 1/8

4 0
2 years ago
-11 X +4+ 8X -4+ 3X equals
maksim [4K]

Answer:

0

Step-by-step explanation:

First what you want to do is add together the common numbers

So, take all of the X's and add them together

(-11, 8, and 3)

-11x + 8x + 3x

-3x + 3x

0

So that all evens out

Now just find the other values

(4 and -4)

4 - 4

0

This equation equals 0

Hope this helps!!!

-Unicorns110504

*Please mark brainliest*

6 0
3 years ago
Read 2 more answers
21/5 as a whole number
Softa [21]
4.2 is the answer of this question you are asking ✌️
4 0
3 years ago
Read 2 more answers
baker has 3 1/2 bags of flour. each bag holds 5 1/3 pounds of flour . how many pounds of flour does the baker have in all.
vlada-n [284]
3.5 since its asking how many he has, he has 3.5 its not askint how many bags he needs or how much a bag holds
7 0
3 years ago
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Consider a data set containing the following values: 70 65 71 78 89 68 50 75 The mean of the preceding values is 70.75. The devi
Leokris [45]

Answer:

If this is the sample data, the sample variance is 125.07 and the sample standard deviation is 11.18

If this is a population data, the population variance is 109.44 and the population standard deviation is 10.46

Step-by-step explanation:

We are given the following data-set:

70, 65, 71, 78, 89, 68, 50, 75

Deviations from the mean

–0.75, –5.75 , 0.25, 7.25, 18.25, –2.75, –20.75, 4.2

Sample size, n = 8

Sample:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

s = \sqrt{\dfrac{875.5}{7}} = 11.18

\text{ Sample variance} = s^2 = 125.07

Population:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

\sigma = \sqrt{\dfrac{875.5}{8}} = 10.46

\text{ Population variance} = \sigma^2 = 109.44

7 0
3 years ago
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