Hello there!
It depends on what the angles add up to be. If they add up to be 90°, they are complementary. If they add up to be 180°, they are supplementary.
So, 90° = complementary
and 180° = supplementary
It's best to review it multiple times since it's easy to confuse them, or come up with your own little saying that'll work well depending on how you think you'd remember it best. For me, since 90° angles are also right angles, i just think: it is right to give some body a complementary angle because complementary angle ... compliment .... get it? Anyways, not to confuse you, whatever works best for you! :) I hope I could help you today!
The rules about opositive and negative numbers include
- Two like signs become a positive sign
- Two unlike signs become a negative sign
<h3>How to illustrate the information?</h3>
It should be noted that two like signs become a positive sign. For example, (-2) × (-4) will be:
= (-2) × (-4).
= +8
Two unlike signs become a negative sign. This will be:
(-2) × (+4)
= -8
Learn more about numbers on:
brainly.com/question/148825
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Answer:
A. -12
Step-by-step explanation:
A graph shows the vertices of the feasible region to be (0, 6), (3, 0) and (0, -3). Of these, the one that minimizes f(x, y) is (0, -3). The minimum value is ...
f(0, -3) = 3·0 + 4(-3) = -12
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<em>Comment on the graph</em>
Here, three regions overlap to form the region where solutions are feasible. By reversing the inequality in each of the constraints, <em>the feasible region shows up on the graph as a white space</em>, making it easier to identify. The corner of the feasible region that minimizes the objective function is the one at the bottom, at (0, -3).
Answer:
5*3=15
Step-by-step explanation:
Answer:
The correct option is C) Both of the above.
Step-by-step explanation:
Consider the provided statement.
First understand the meaning of Confidence level.
Confidence level refers to the percentage of likelihood, or assurance, that when you draw a random sample several times, the confidence interval will contain the true population variable.
99% confidence means We are 99% sure that most of these confidence intervals contain the true parameter of the population.
Therefore, both the statement are correct.
Hence, the correct option is C) Both of the above.