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What else can I help you with?
What is the group that experiences no changes in the independent variable?
Controlled variables are things that must be controlled and kept the same during the experiments in order to prevent them from having an impact on results.
What are Confounding Variables?
In any experiment there are many kinds of variables that will effect the experiment. The independent variable is the manipulation for the experiment and the dependent variable is the measure you take from that experiment. Confounding variables are things in which have an effect on the dependent variable, but were taken into account in the experimental design. For example, you want to know if Drug X has an effect on causing sleep. The experimenter must take care to design the experiment so that he can be very sure that the subjects in the study fell asleep because of the influence of his Drug X, and that the sleepiness was not caused by other factors. Those other factors would be confounding variables.
During an experiment whivh factors must be controlled so that researchers can draw a logic conclusion?
figure it out yourself ,geez its not that hard.
What are the independent dependent and control variables?
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).
What means the variable that must be kept constant?
What variables must be kept constant
What is the variable in an experiment?
The variable in an experiment is the element that is being tested or measured. It is the factor that can change or be manipulated to observe its effect on the outcome of the experiment. There are independent variables, which are manipulated by the researcher, and dependent variables, which are what is being measured.
What are two important variables you must control to make the experiment work?
Two important variables to control in an experiment are the independent variable, which is the factor being manipulated by the researcher, and the control variable, which is kept constant to prevent it from affecting the results. Controlling these variables ensures that any changes observed in the dependent variable are a result of the manipulated factor and not due to other influences.
How many controlled variables must a controlled experiment contain to be valid?
Every variable except for the one being tested should be controlled.
Why is it so important to control variables in an experiment?
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).
Is the independent variable the volume of an object or the mass of an object?
The independent variable is the volume of an object. It is the variable that is manipulated or changed in an experiment to observe its effect on the dependent variable. In this case, the dependent variable would likely be the mass of the object.
How many variables do you need in a science experiment?
Ideally, an experiment should test only one variable (the independent variable) at a time. If you have two or more variables changing at the same time you have no way of knowing which variable is causing your results.
What must a proper experiment have in it?
indipendante variable, dependant variable, and a control group
How many variables should you have when you start an experiment?
An experiment involves three types of variable.The independent variable is the one you are investigating. It is the one which you deliberately vary in the experiment. You should only have one independent variable.The dependent variable is the variable which you measure to get your results. Often there is only a single dependent variable but there can be more.All other variables must be controlled ie kept constant so they do not change the result. There are usually many control variables in an experiment.
How many variables should a experiment have?
An experiment involves three types of variable.The independent variable is the one you are investigating. It is the one which you deliberately vary in the experiment. You should only have one independent variable.The dependent variable is the variable which you measure to get your results. Often there is only a single dependent variable but there can be more.All other variables must be controlled ie kept constant so they do not change the result. There are usually many control variables in an experiment.
What are the 3 scientific variables?
The three scientific variables are independent variables, dependent variables, and controlled variables. The independent variable is the variable that is manipulated or changed by the researcher. The dependent variable is the variable that is measured or observed in response to the changes in the independent variable. Controlled variables are the factors that are kept constant to ensure that they do not influence the relationship between the independent and dependent variables.
In an experiment what are controlled variables?
Controlled variables are quantities that must remain constant.
Why must the parameters of a scientific experiment be controlled?
Controlling the parameters of a scientific experiment is crucial to ensure that the results are accurate and reliable. By keeping variables constant, researchers can isolate the effect of the independent variable on the dependent variable. This helps in drawing valid conclusions and making meaningful comparisons between different experimental conditions.
