Answer: There are 16 fish that he can keep in the aquarium.
Step-by-step explanation:
Since we have given that
Length of aquarium = 4 feet
Width of aquarium = 1 foot
So, it forms a shape of cuboid.
As we know the formula for "Volume of Cuboid":

According to question, Each fish needs atleast 0.5 cubic feet of water.
So, Number of fish that he can keep in the aquarium is given by

Hence, there are 16 fish that he can keep in the aquarium.
Answer: In the equations that you have given, we have a dependent system.
2x + y = 8 (I assumed that you meant to type y instead of 7)
6x + 3y = 24
To use Cramer's Rule, we have to take the determinant of 3 different matrices written in the problem. Taking the determinant of the coefficient matrix produces a zero.
2 1 This is the coefficient matrix.
6 3
6 - 6 = 0
Since this is 0, the rest of the work will be undefined meaning the systems are dependent (or they are the versions of the same equation).
12 to 16 pounds Im not very good at math but I hope this helps
A diagram must be associated with the question above. Based on what I researched, this is what I got.
The blue sector of the circle is 120 degrees.
area of the blue sector = 1/3 of pi * 2^2
= 4.19cm2
I hope this answer helps.
Answer:
Null hypothesis:
Alternative hypothesis:
The statistic to check the hypothesis is given by:
And is distributed with n-2 degrees of freedom
And the statistic to check the significance of a coeffcient in a regression is given by:

For this case is importantto remember that t1 and p value for test of slope coefficient is the same test statistic and p value for the correlation test so then the answer would be:
Always
Step-by-step explanation:
In order to test the hypothesis if the correlation coefficient it's significant we have the following hypothesis:
Null hypothesis:
Alternative hypothesis:
The statistic to check the hypothesis is given by:
And is distributed with n-2 degrees of freedom
And the statistic to check the significance of a coeffcient in a regression is given by:

For this case is importantto remember that t1 and p value for test of slope coefficient is the same test statistic and p value for the correlation test so then the answer would be:
Always