Wat is control group? indepedent variable?dependent variable?

When doing an experiment these are used to ensure good research and analysis of data.





Lets say we hypothesize that plants exposed to music grow better and produce more flowers.





The independent variable in our study is one that we change, in this example it would be whether the plants have music or not.





The dependent variable in our study is the one that changes depending on what the independent variable is doing, so in our example the dependent variable is the growth or flower counts.





The control group is another group of plants that are in exactly the same conditions as our subject group but do not have exposure to the music. They MUST get the same amount of water, be in the same kind of soil, be in the same temperature, same amount of light, etc.





At the end of the experiment you can compare the control group to the plants that were exposed to music to see how they are different. If you didn't have this control group to compare to then you'd not know if the music made a difference or not.





Peace.Wat is control group? indepedent variable?dependent variable?
Dependent variable is the control group.Wat is control group? indepedent variable?dependent variable?
Didn't you listen in class when the teacher explained it? The concept is extremely important and rather simple. Did you read the textbook? Where are you stuck?
I'll start with the variables.





All these terms are used in performing any experiment where you want to find out the change in a variable when you change another variable.





So, dependent variable is a variable whose value is being determined in an experiment.





Independent variable is a variable that is being changed to see what effect if any, it will have on the dependent variable





Usually the participants of an experiment are divided into several groups. Each group is given a calculated amount of the independent variable. To be able to have a base comparison for the results, there is usually a group which gets 0 or no amount of the independent variable. That group is called the control group.
in an experimental research, you have two groups, right?


say for example you want to know how this new drug would affect people


you'll make 2 groups, one will use the new drug and the other one will use the old drug


the group that you'll give the new drug to is your control group





the independent variable is using the new drug


the dependent variable is whatever happens to the control group in response to the drug





hope this helps
All these terms relate to designing research experiments, in biology and other sciences as well.





A good experiment starts with two or more groups of test subjects (let's say the subjects are barley plants). Some of the groups are test groups, and you actually do the experiment on them. (let's say the experiment is to apply different amounts of a new kind of fertilizer) The other group or groups are control groups. For these, you conduct the experiment exactly as you do for the test, except that you don't apply any treatment (negative control - in this case, you add no fertilizer at all) or, you treat that group in a conventional way (positive control, for example the fertilization procedure usually used by barley farmers). After the experiment, you compare all the groups to see how your treatments stack up to the controls.





The independent variable is the thing you are independently varying - in the above example it is the amount of the new fertilizer applied to the plants. The dependent variables are the responses you are measuring, like how high the plants grow, or how much grain is produced per plant. These variables are called ';dependent'; because you're trying to see how they depend on the independent variable.





So, why do you need control groups? Because factors outside your control can influence the results of your test. If you are experimenting on barley plants, the amount of sun and rain they get, and the temperature during the growing season, will influence the amount of grain they produce. If your barley plants produced 1.8 grams of grain per stalk with the new fertilizer, and the known average production is 1.6 grams per stalk, can you be sure that the improvement is due to the fertilizer? Perhaps your plants just had better growing conditions than average; perhaps they would have done just as well without fertilizer. If you don't run control groups you'll never know, because you won't have a direct comparison.