That's a funky problem... :/ I mean it would depend on how much she earns weekly. If she were working 40 hours each week and earning 10$ an hour then yes, she would have enough. Even is she were per say a student on a part time working 30 hours and earning 8$ per hour, she would still have enough.
We have been given a system of inequalities and an objective function.
The inequalities are given as:

And the objective function is given as:

In order to find the minimum value of the objective function at the given feasible region, we need to first graph the region.
The graph of the region is shown below:
From the graph, we can see that corner points of the feasible region are:
(x,y) = (15,30),(30,15) and (30,60).
Now we will evaluate the value of the objective function at each of these corner points and then we will compare which of those values is minimum.

Hence the minimum value of objective function is 975 and it occurs at x = 15 and y = 30
<u>Given</u>:
Given that a circle O with two tangents BA and BC.
The major arc AC is 234°
The minor arc AC is 126°
We need to determine the measure of ∠ABC
<u>Measure of ∠ABC:</u>
We know the property that, "if a tangent and a secant, two tangents or two secants intersect in the interior of the circle, then the measure of angle formed is one half the difference of the measures of the intercepted arcs."
Hence, applying the above property, we have;

Substituting the values, we get;



Thus, the measure of ∠ABC is 54°
Hence, Option b is the correct answer.
All we need to do here is divide the circumference by 2.
104.48 / 2 = 52.24
The new circumference is 52.24 mm.
Answer:
- Listing of 15 students
- Assignment of a sequential number to each student.
- The figured out sample size, i.e., 2.
- Selected sample using sampling frame 15 from Step 2 and your sample size from Step 3, i.e., 2
Step-by-step explanation:
Random sampling is a piece of the sampling method where each example has an equivalent likelihood of being picked. An example picked randomly is intended to be an impartial portrayal of the all out populace. On the off chance that for certain reasons, the example doesn't speak to the populace, the variety is known as a sampling mistake. A random example is an example that is picked randomly. It could be all the more precisely called a randomly picked test. Random examples are utilized to stay away from inclination and other undesirable impacts. Random sampling is probably the least complex type of gathering information from the all out populace. Under random sampling, every individual from the subset conveys an equivalent chance of being picked as a piece of the sampling procedure.