Answer:
1. 5
2. 5
3. -3
4.y= -1
5. 5
Step-by-step explanation:
1.)x- 2y= -25 ; y=3x
x-2(3x)=(-25)
x-6x=(-25) ; -5x=(-25) ; x=5
2.) 5x+3y =40; x=y
8y=40; y=5
3.) 4x-3y= -27; x=3y
4(3y)-3y= -27; 12y-3y=-27; 9y=-27; y=-3
4.)x-y=9; x=-8y; -8y-y=9; -9y=9; y=-1
5.) 2x+2y=30; y=2x ; 2x+2(2x)=30; 6x=30; x=5
Answer:
See explanation below
Step-by-step explanation:
It depends on what null hypothesis is under consideration.
One of the most common null hypothesis that are subject of study in a given statistical model is <em>the mean</em> predicted by the model.
In this case, the scientist probably observed that the mean of tusk lengths she obtained in a sample did not match the one predicted with the H-W equation.
So, she decided to perform a statistical study by collecting random samples and measuring the tusk lengths to determine a new possible mean and contrast it against the one predicted by the H-W equation.
<em>Let's call M the mean predicted by the H-W equation, and S the mean obtained by the scientist.
</em>
If M different of S and the p-value is 0.021, that means that <em>there is at most 2.1% of probability that the difference between M and S could be due to a random sampling error.
</em>
It should be kept in mind that the p-value does not represent the probability that the scientist is wrong.
You need to know the value of X to determine whether or not the equation is true.
Bruh use this app photomath... Itll tell u the answer to everything
