hi, im doing a science assignment on whether "a homemade barometer can be used to predict rainfall within 24 hours" and i need help with what the dependant variable and indepentant variable is FOR THIS EXPERIMENT
Yes, an experiment can have more than one dependent variable. This may be necessary when studying the effects of an intervention or treatment on multiple outcomes or behaviors. Researchers need to carefully consider how each dependent variable is related to the independent variable and how they will measure and analyze these relationships.
An experiment is designed to have only one independent variable at a time in order to clearly identify and understand its effect on the dependent variable. This helps to avoid confusion and ensures that any observed changes in the outcome can be attributed to the single independent variable being tested.
The independent variable in the experiment is the variable that occurs on its own and does not need anything for it to change, this that is why it is Independent e.g. years, time etc So the Dependant variable is the variable that relies on the independent variable to change and is normally represented on the Y axis. For example, if you had a graph that showed the amount of miles a car travelled over a certain time, the time is always going on and wont stop so its independent. The miles travelled depended upon the time, if the time did not go on the amount of miles travelled also couldn't go on, so it was dependant on the time to change for it to change. So it is the dependant variable.
the investigator only changes one variable in an experiment because they need to see how that one variable reacts. if you wanted to see how the dependent variable changed but changed the independent variable you would not see how the one variable reacts.
To isolate a variable, you need to perform inverse operations to the ones applied to the variable. This involves moving constants to the other side of the equation, and then using operations like addition, subtraction, multiplication, or division to isolate the variable on one side of the equation.
The dependent variable MAY change, but it need not.
If there is an independent variable, then it will be on the x-axis. Of course, there need not be any independent variable.
The independent variable is the thing you are changing/varying. The dependent variable is the thing you are measuring. This variable should be affected by the independent variable. Control variables are anything that must be kept constant. If there are any other factors which affect the dependent variable, then these need to be controlled so that they do not have any significant effect (basically ensuring that you are actually measuring the effects of the independent variable).
Yes. The presumed cause is the independent variable and the presumed effect is the dependent varibale. Variablility in the dependent variable is presumed to depend on variablility in the independent variables. It is used more of a direction of influence rather than a cause and effect scenario. Ex. need for increased assistance is dependent on decrease in health. Health is the independent variable and assistance is the dependent.
If there is an independent variable, then that is usually plotted along the x-axis. But there need not be one.
well, the dependent variable doesn't change the independent...but i am doing he home wrk that has the EXACT question in it ( it is 1/21/10)i am quite cunfuzzled and need help!
We would need more information about the situation to respond to this question.
An independent and a dependent variable. A hypothesis. And lab coat, a white one.
So no other variables influence your results.
The independent variable is how each jar is covered. The dependent variable is the amount of maggots in each jar. The control groups are Jar1( no covering, left open), and Jar 2 (covered with netting). The experimental group is Jar 3 Sealed from the outside).
Yes, an experiment can have more than one dependent variable. This may be necessary when studying the effects of an intervention or treatment on multiple outcomes or behaviors. Researchers need to carefully consider how each dependent variable is related to the independent variable and how they will measure and analyze these relationships.
To conduct a controlled experiment, you need to control all variables except the one you are changing. The variable you change is called the independent variable, and the variable you measure in response is the dependent variable. Control variables are those that could potentially affect the outcome of the experiment but are kept constant to isolate the effect of the independent variable.