Why control are most important system?

Answer 1

control is important so that we stay in our limits. sometimes, we tend to speak outrightly which is not right and feel that control would have stopped us from hurting the other.

Answer 2

because 2x/13= 11/7

Answer 3

Control systems are essential in order to regulate, monitor, and adjust various processes to ensure desired outcomes. They help maintain stability, optimize performance, and ensure safety in systems ranging from industrial processes to electronic devices. Without effective control systems, there would be a lack of consistency, predictability, and efficiency in operations.

Answer 4

If you leave important variable uncontrolled (you don't make sure that they are the same for each experimental group, for example) then reviewers who are critical of your work will be able to rightly state that any results you obtained may have been unwittingly influenced by those uncontrolled experiments. As a perfectly obvious example, say that you are studying the effects that various kinds of fertilizer have on the growth of plants. When you set the experiment up, you use several very different kinds of plant, and some are in direct light, some are almost always in indirect light, some get little water, etc. Can you really say with confidence that different growth rates have anything to do with the different fertilizers that you used?

Answer 5

Controls are not needed in all experiments. Generally speaking, Biology experiments are controlled, and physics and chemistry experiments are not.

Suppose you want to find out what effect a certain chemical has on rats. You could just take some rats, feed them the chemical, and see what happens. But then, once you've seen how the rats behave, you're left with the questions: "Is this normal behaviour for rats? Are these rats acting unusually because of the drug, or because they don't like being kept in cages? Or is it because they feel cold, or lonely? Or is this an unusual breed of rat?"

To answer these questions, you need to compare the results with the control experiment. If you have nother group of rats, of the same variety, which are being kept in cages identical to the ones given the drug, and if they're kept at the same temperature and otherwise under identical conditions, then you can know what effect the drug is having. If the rats with the chemical are more aggressive than the control rats, then the chemical causes aggression; if they are slower, then the chemical is making them slower; and so on.

A person's state of mind can affect their health. In particular, if they're ill, and if they think they are being given an effective drug but it's really something useless, then they can still show signs of improvement, at least in the short term. I don't just mean they think they are getting better. I mean that they can undergo definite improvement, just because they believe wrongly that they are being healed.

Fake medication is known as a placebo; and this phenomenon is known as the Placebo Effect. It means that in drug trials a control group is always needed. In fact there's a whole industry for manufacturing fake pills, just to use as placebos in controlled experiments. If you ever take part in a drug trial, they won't tell you whether they're giving you real medicine or a placebo.

Answer 6

Effects of experiments have to be able to be observed in order for causation to be determined. The only way to observe these changes is to 'control' for all other features, and this includes providing a test case which is not subject to the experiment. By comparing the changes in the experiment to the control, we can see how performing the experiment affected the sample.

Answer 7

A control group is required as standart to compare with other treatments.

Answer 8

The control group is necessary because it provides a baseline to which you can compare the results of the experimental group to.

Answer 9

so you have something to compare your expirament to that will show if your hypothesis is true or not

Answer 10

A control is need so you can see what would have happened in the event that the experiment did not take place.