Yes cause there is only one variable that is being manipulated
answer: compare a plant not given fertilizer to a plant given fertilizer..
you dont
try a sugarbeet
Plants need light and they will grow towards where they receive an optimal amount; plants will face where the light is. You can experiment on your own by growing your own plant and using a desk lamp as the light source. As the plant grows, it will lean towards and face the light source directly.
When there is treatment control in an experiment, it means that the specimen in that experiment has not been altered in any way. So no treatment control means the exact opposite. For example, a plant is let to grow naturally while another may have the tips of its shoot cut off. The shoot with its tips cut off has no treatment control.
You need to control variables in an experiment so as to make sure that only the variable you are testing and changing is the one affecting the results of your experiment. For example, in an experiment to find the effect of light intensity on the rate of photosynthesis of plant, you'll change light by putting a plant in sun and another in dark but you must not change carbon dioxide level for both plants so by that you have controlled other variables in the experiment(variables which must be the same always in the experiment).
If you are doing the experiment with potato or similar (other plant tissue) then you boil the potato you are taking the sample from before you use it, to shoe that the plant tissue needs to be alive for the experiment to work.
For instance, if you wanted to experiment on plant a, plant b, and plant c. You would put plant c to one side, treat it like a normal plant (water, feed, etc.) and call that the control. You could then experiment on plant a and plant b - feeding them differing fertilisers, allowing pests to attack the plants, and so on. At the end of the experiment, you could compare the growth of plant a and plant b to the control plant c. Though plants are mentioned above, the principle relates to any experiment - you need a control to compare against the end results of the experiment.
Not. A controlled experiment is one where there is a control - in this case what is needed is a plant which receives no extra fertilizer or water.
answer: compare a plant not given fertilizer to a plant given fertilizer..
answer: compare a plant not given fertilizer to a plant given fertilizer..
The independent variable is the part of the experiment that is being tested or the part that is changed by the person doing the experiment. The dependent variable is the part of the experiment that is affected by the independent variable.
The variable that you change is the independent variable(which you change). This could be the amount of light, fertilizer or salt that you give to a plant to observe how it affects its growth. What you measure is the dependent variable(the variables that change due to the change in independent variable) eg mass of the plant each day or week, number of leaves or height. All other variables are called the control variables(variables that are constant throughout the experiment). These make the experiment a "fair test". In the above experiment if you were to vary the amount of salt in the soil then each plant must be given the same amount of light, fertilizer, water etc.
you dont
The dependent variable is the effect of an independent variable. For example, if a science experiment is done with plant growth under a certain amount of light, the height of the plant is the dependent variable because it depends on the amount of light.
No, I have did a experiment out of this it will not grow and other then that it will have maggots in it.
A control show that under the normal conditions what will happen. Example: Testing effect of light filtering on growth of plant Tested plant: 8 CM under light with 2 layers of cyan colored plastic. Control: 8 CM under light with 2 layers of clear colored plastic. we still need the plastic to keep conditions the same except for the thing we are testing which is not the plastic, but the color's effect.