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Why is it important to identify as much variables as possible in an experiment?
Wiki User
∙ 13y ago
Accounting for errors in an experiment will determine the validity and reliability to the experiment. This, in turn, will either support the experimental results by accepting the null hypothesis or to discard the experimental results by rejecting the null hypothesis
Wiki User
∙ 12y ago
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When a controlled experiment is not possible why do scientists try to identify as many relevant variables as possible?
to gather data from data to create an controlled experiment
When a controlled experiment is not possible why do scientists try to identify as many relevants as possible?
to gather data from data to create an controlled experiment
How do you improve accuracy by controlling the variables more carefully?
Accuracy is how close together your results are each time you repeat an experiment, so keeping the variables as constant as you can ensures your results differ as little as possible.
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.
Why is it important to know your variables when conducting an investigatory problem?
A variable is something which can vary, or have different values. Scientific investigations always involve three types of variables: 1) The independent variable: this is the variable which you deliberately alter, so you will know its values before you start the experiment. For example, if you want to know how the amount of light a plant gets affects its growth, you must give aome plants different amounts of light. Since you need to choose the amounts, you will know the values of this variable before you start the experiment. 2) The dependent variable:this is the variable you must measure to find out if it changes as a result of you changing the independent variable. Since you have to measure it to find out its values, you will not know the values (ie the results) before doing the experiment. In the plant example you wouls have to find some way of measuring plant growth in the different light conditions. 3) Control variables: these are any other variables which may affect the values of your dependent variable, so they need to be kept constant to make it a fair test. In our example, things like the temperature or the amount of water could also alter plant growth, so they would have to be kept constant. These variables are also called confoundingvariables. The basic principle is only alter one variable (the independent variable) at a time; keep everything else the same. See: http://www.sciencebuddies.org/science-fair-projects/project_experiment_fair_test.shtml http://www.fair.science-resources.org/sci_meth.htm
Why do scientists try to identify as many relevant variables as possible when a controlled experiment is not possible?
to gather data from data to create an controlled experiment
When controlled experiment is not possible why do scientist try to identify as many relevant variables as possible?
to gather data from data to create an controlled experiment
When a controlled experiment is not possible why do scientist try to identify as many relevant variables as possible?
to gather data from data to create an controlled experiment
When a controlled experiment is not possible why do scientists try to identify as many relevant variables as possible?
to gather data from data to create an controlled experiment
How many variables there be in an experiment?
As few as possible.
Which of the following is an important advantage of experiments over observational studies?
The main possible advantage is that in an experiment, it is possible to control some of the variables so that it is easier to measure the effect of key variables. In observational studies, no such control is possible.
How many variables are supposed to be in a science experiment?
Most science experiments will have two independent variables. Fundamentally, an experiment will want as few variables as possible for better results.
what are all the variables in an experiment?
The variable is the thing that changes - there are literally an infinite number of possible variables so they cannot be listed. Each experiment has its own variable.
What is the best number of variables for a scientific investigation?
In an experiment containing a number of possible variables only one of these should be altered in each individual experiment. Otherwise it is not possible to determine which variable is responsible for a particular change.
The variable that changes as the result of an experiment is a?
true or false : in order to get the best results from an experiment, change as many variables as possible within the experiment?
When a controlled experiment is not possible why do scientists try to identify as many relevants as possible?
to gather data from data to create an controlled experiment
Why do scientists try to identify as many relevant variables as possible?
to get better results
