Whats the difference between a variable and a control in science?
{Im answering this as a psychology student } In an experiment the "control" is the group of people or object this is used to measure the effect of the variable. The "control" is the thing that does not change and is not the thing in question. In an experiment the "variable" is the thing which is changed and manipulated by the experimenter. It is the effect of something, Example: You want to test a drug. you get a group of 40 people. 20 people are given the pill, 20 people are not given the pill but a sugar pill. the people who have the pill is the "variable" and the people who dont have the pill is the "control".
What is a response variable in statistics?
In statistics, the response variable is the variable you are measuring and trying to explain. When you have a response variable, it is always paired with one or more explanatory variables. The explanatory variable(s) drives change in the response variable.What is a response variable in an experiment?For example, let’s say you’re doing a study on childhood obesity. Childhood obesity will be the response variable, and factors that potentially explain it, such as sugar intake, activity levels, and parental health may be looked at as explanatory variables.For another example, pretend you are doing a study on a new cancer drug to see if it prolongs patients’ lives. In the study, patients are given either the new drug or an established drug. The length of patient life is the response variable, and the drug given is the explanatory variable.Independent and Dependent VariablesThe concept of response variables and explanatory variables is very similar to another variable pair you’re likely to encounter in statistics: independent and dependent variables.The independent variable is one that does not change based on other factors in the study. This variable correlates to the explanatory variable. The dependent variable, on the other hand, does change. Because change in the dependent variable is driven by the independent variable(s), it correlates to the response variable.Further ReadingThe Differences Between Explanatory and Response VariablesExplanatory Variable & Response Variable: Simple Definition and Uses
What is the purpose of controlling variables in an experiment?
A Control variable - Wikipedia in science is a variable which you do not change during your experiment. It gives you a reference level for changes in a variable you are testing.In medicine, if you have two groups, the control group is left alone or given a placebo while the other group is given the treatment which you wish to test.In a biology experiment testing the effect of loud noises on whales, your control group would not be exposed to loud noises.In a chemistry experiment testing the effect of heat on a solution of water mixed with salts, the control test tube would have water in it and no salt.In a physics experiment, the control might be analogous to the noisy background signal prior to the introduction of additional energy to the system. If your signal-to-noise ratio is poor, your measurement is of low quality.There are many systems for which it is difficult to construct a control variable because it is unethical or impossible to do so.For example, measurements of the cosmic microwave background radiation claim to represent the background signal of the universe, but because we don’t have a measurement of the actual background signal of the universe to compare it to, the measurement lacks a control and is therefore hard to interpret. We are assured that the cosmic microwave background extends throughout the universe. How do they know it is not some local effect of our galaxy when all the measurements are made from within it?
Regents Biology Questions?
a) control treatments: collecting oxygen produced by a plant in NO LIGHT condition. experimental treatment: measure the oxygen produced by plants in low, med, high light intensities. b) control treatment: check the tumor development of lab rats that aren't using NutraSweet sweeteners. experimental treatment: give the rats NutraSweet and check the tumor development.
What is the difference between causation and correlation? For example, there is a strong correlation between shoe size and intelligence in children, but this relationship is clearly not causal.
Correlation doesn’t mean Causality.There is a strong evidence saying ‘Married people are happier than unmarried couples.’ by correlation analysis.But, does that mean that ‘Getting married will bring you happiness’? I think not. It seems more likely that happier people get married in the first place.Let’s see,I’ll give you a pair of some (x,y) points. It looks like this,(1,2),(2,4),(3,5.8),(4,8.1),(5,10)Just looking at these five points, we can see that Y variable is twice as much as X variable; and if we were to draw a line between X & Y, it would be a straightline.That means, these two variables are correlated somehow.But, does that mean X causes Y? or bringing changes in Y will cause a change in X as well? May be, may be not.What if I tell you that X is number of people using a Windows Phone and Y is the number of people dying in Car Accidents on the Street of Derry, Maine?Does the correlation mean that ‘Buying more Windows Phone will cause twice as many people to die in Car Accidents?’ Not really.Correlation doesn’t mean Causality.So, what do you do when you’ve, let’s say 100 companies stock prices listed for 365 days? If Apple’s new introduction of iPhone caused stock prices to go up after a launch, will Google’s introduction to Pixel will behave the same? Are Apple and Google or any of those 100 companies correlated? If they’re then will the correlation mean the causality?In that case, to simplify things a little, you use a concept of Singular Value Decomposition of data; a way of rotating Eigen Vectors in such a way that it allows you to look at the stock prices at a different angle, along with eliminating useless data. This way you can find out if some of the correlations will actually mean causality or not. But, this is a question for different topic.
ADHD or sometihng else, like regular adolesnce?
My 12 year old now, was diagnosed with adhd when he was 8, I put him on the meds for one year and took him off of them because he was not a kid anymore, I didn't want a zombie for a child,what I did was work with him and the school worked with me also, he has a rocking chair to go to at school when he gets his moments and he rocks until he calms down, his work is on florescent colored paper and he squeezes balls while he is working. when he is at home it is very challenging because sometimes we have our moments but I have to put myself in check and learn that his actions are sometimes uncontrollable, so I try to keep him busy. but I will tell you this, he is one smart boy with the biggest heart that I have ever seen. but when he was on the meds, he was miserable, I couldn't stand it. So I thought to myself, ADHD has been around for years, and their was no meds, and the ones that had it, turned out just fine just a little hyper, I just keep him away from caffeine, and sugar products. good luck sweetie, and remember try to cope with it before you turn to meds, because those meds in my opinion are not a good thing for children.