First, let's rearrange the first equation so we can know what y equals to.
So, (x - y = 2) becomes (y = x - 2).
Now, we can plug this into the second equation so we can find x.
6x + 4(x - 2) = 92
6x + 4x - 8 = 92
10x - 8 = 92
10x = 100
x = 10
Now that we know x equals 50, we can plug this into either equations to find y. Let's use the first equation.
10 - y = 2
-y = -8
y = 8
Now, let's check our work by plugging int eh values of x and y for both equations.
<u>First equation:</u>
10 - 8 = 2
<u>Second equation:</u>
6(10) + 4(8) = 92
60 + 32 = 92
So, the values of x and y are correct.
Answer:
x=10
Step-by-step explanation:
3/5x+22=28
minus twenty-two on both sides.
28-22=6
mutiply by five on both. 6(5)=30
3×=30
x=10
![\bf \large \rightarrow \: \:2x \: \: ( \: 4 {x}^{2} \: - \: 3xy \: + \: {y}^{2} \: )](https://tex.z-dn.net/?f=%5Cbf%20%20%5Clarge%20%5Crightarrow%20%5C%3A%20%5C%3A2x%20%5C%3A%20%20%5C%3A%20%28%20%5C%3A%204%20%7Bx%7D%5E%7B2%7D%20%20%5C%3A%20%20-%20%20%5C%3A%203xy%20%5C%3A%20%20%2B%20%20%5C%3A%20%20%7By%7D%5E%7B2%7D%20%20%5C%3A%20%29)
![\bf \large \rightarrow \: \: 8 {x}^{3} \: - \: 6 {x}^{2}y \: + \: 2x {y}^{2}](https://tex.z-dn.net/?f=%5Cbf%20%5Clarge%20%20%5Crightarrow%20%5C%3A%20%5C%3A%208%20%7Bx%7D%5E%7B3%7D%20%20%5C%3A%20%20-%20%20%5C%3A%206%20%7Bx%7D%5E%7B2%7Dy%20%5C%3A%20%20%2B%20%20%5C%3A%202x%20%7By%7D%5E%7B2%7D%20)
Option ( B) is the correct answer
The number 42 and then decrease it or subtract twice what ever he has in savings. 42-(2GS) GS is goarans savings. most of the time we would use a variable like x so it could be written as 42-(2x) depends on how the teacher wants it.
Answer:
There is no enough evidence to claim that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates.
Step-by-step explanation:
The question is incomplete: the table is attached as picture.
The researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates.
As result from the test we have a t-statistic with a value t=-1.37631.
We don't know the significance level, but we know that the critical value that separates the acceptance region from the rejection region is tc=-1.70113.
To be the difference between means statistically lower than 0, the t-statistic should be lower than the critical value.
![t=-1.307631\\\\t_c=-1.70113\\\\t>t_c](https://tex.z-dn.net/?f=t%3D-1.307631%5C%5C%5C%5Ct_c%3D-1.70113%5C%5C%5C%5Ct%3Et_c)
This is not the case, so the null hypothesis failed to be rejected.
There is no enough evidence to claim that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates.