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DENIUS [597]
3 years ago
11

What is -7(5x-4) simplifyed

Mathematics
2 answers:
HACTEHA [7]3 years ago
7 0

Answer:

-35x+28

Step-by-step explanation:

have a great day :'D

Naddika [18.5K]3 years ago
5 0

Answer:

35−28

Step-by-step explanation:

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If 4,1,2 in middle is 21<br>if 2,1,4 in middle is 16 <br>then 1,4,2 what is number in middle?<br>​
Romashka-Z-Leto [24]

Answer:

5

Step-by-step explanation:

21-16=5

hope it helps!!

is this an Olympiad qn?

7 0
3 years ago
You and your friend were working the ticket table at the last school basketball game.
boyakko [2]

Answer:

Step-by-step explanation:

First

a+s=375

a=375-s

Next

5a+3s=1375, now using a found above makes this equation become

5(375-s)+3s=1375

1875-5s+3s=1375

1875-2s=1375

-2s=-500

s=250, since a=375-s

a=375-250

a=125

So 125 adult and 250 student tickets were sold.

4 0
3 years ago
Joshua sold his bike for 10% less than he paid for it.if he sold the bike for $585, how much did he pay for it
natima [27]
10% is of 585 would be 500
3 0
3 years ago
Read 2 more answers
Find the slope for line with the points (3,9) and (7,9)
GarryVolchara [31]

Answer:

The slope is 0.

Step-by-step explanation:

The slope is the change in y over the change in x

\frac{9-9}{7-3} =\frac{0}{4}

6 0
3 years ago
The following observations are given for two variables. x y 2 7 6 10 9 13 11 18 11 21 12 25 7 12 4 7 ​ a. Compute the sample cov
belka [17]

Answer:

The given data is:

x = (2, 7, 6, 10, 9, 13, 11, 18)

y = (11, 21, 12, 25, 7, 12, 4, 7)

a. The formula used for Sample Covariance is:

S_{XY}=\frac{\sum_{i=1}^{n}(X_{i}-\bar{X})(Y_{i}-\bar{Y})}{n-1}

where, \bar{X} is mean of X

and \bar{Y}  is mean of Y

Firstly calculating \bar{X} and \bar{Y}. We get,

\bar{X} = 9.5

\bar{Y} = 12.375

Now, Putting all values in above formula. We get,

Sample Covariance S_{XY} = -8.64

b. Standard Deviation is the square root of sum of square of the distance of observation from the mean.  

Standard deviation(\sigma) = \sqrt{\frac{1}{n}\sum_{i=1}^{n}{(x_{i}-\bar{x})^{2}} }

where, \bar{x} is mean of the distribution.

Using formula we get,

Standard deviation (\sigma_{X}) = 4.81

c. Using above formula we get,

Standard deviation (\sigma_{Y}) = 7.21

d. Correlation Coefficient is calculate by using formula:

r_{xy}=\frac{S_{XY}}{S_{X}S_{Y}}

where, S_{XY} = Covariance of X and Y

S_{X} = Standard Deviation of X

S_{Y} = Standard Deviation of Y

Putting all values in above formula, we get,

Correlation Coefficient (r_{xy}) = -0.25

<em>Correlation Coefficient tell us that X and Y has negative week relationship whereas Sample Covariance tell us that X and Y has negative relationship. It does not tell us strength of relationship.</em>

5 0
3 years ago
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