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aksik [14]
3 years ago
10

Solve the system: y/2-x/3=8 and x/6+y/12=0 PLEASE NO LINKS!!!!

Mathematics
1 answer:
laiz [17]3 years ago
8 0

Answer:

First: 2x-3y+-48

Second:2x+y+0

Step-by-step explanation:

I think their correct but hopefully they helped!

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Answer:

13 10 30 is numbers 438v135 73 3245

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2 years ago
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Please help me out :)
svetoff [14.1K]

Answer:

818.4 in²

Step-by-step explanation:

shaded region = area of sector - area of triangle

area of sector = area of circle × fraction of circle

A = π × 27.8² × \frac{150}{360} ≈ 1011.65 in²

area of triangle = 0.5 × 27.8 × 27.8 × sin150° ≈ 193.21 in²

shaded region = 1011.65 - 193.21 ≈ 818.4 in²

                         

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3 years ago
What is wrong with the frequency table?
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Answer:

The tallies are not totaled correctly

Step-by-step explanation:

A

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3 years ago
Twice the difference between x and k
r-ruslan [8.4K]
Twice the difference between x and k is 2(x-k)
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3 years ago
A true-false quiz with 10 questions was given to a statistics class. Following is the probability distribution for the score of
disa [49]

Answer:

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=5*0.05 +6*0.15 +7*0.33 +8*0.28+ 9*0.12 +10*0.07=7.48  

For this case this value means that the expected score is about 7.48

Step-by-step explanation:

For this case we assume the following probability distribution:

X         5       6         7       8        9        10

P(X)   0.05   0.15  0.33  0.28   0.12   0.07

First we need to find the expected value (first moment) and the second moment in order to find the variance and then the standard deviation.

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=5*0.05 +6*0.15 +7*0.33 +8*0.28+ 9*0.12 +10*0.07=7.48  

For this case this value means that the expected score is about 7.48

In order to find the standard deviation we need to find first the second moment, given by :  

E(X^2)=\sum_{i=1}^n X^2_i P(X_i)  

And using the formula we got:  

E(X^2)=(5^2 *0.05)+(6^2 *0.15)+(7^2 *0.33)+(8^2 *0.28)+ (9^2 *0.12 +(10^2 *0.07))=57.46  

Then we can find the variance with the following formula:  

Var(X)=E(X^2)-[E(X)]^2 =57.46-(7.48)^2 =1.5096  

And then the standard deviation would be given by:  

Sd(X)=\sqrt{Var(X)}=\sqrt{1.5096}=1.229  

5 0
4 years ago
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