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If an experiment had more than one independent variable why would that make the results of the experiment not valid?
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What is an experiment in which only one factor is allowed to vary?
A valid one. An experiment cannot conclusively prove anything if more than one independent variable is altered at a time. That being said, many dependent variables could show change and the experiment would still be valid, as long as only one independent variable was altered at a time. An experiment that changes only one variable at a time is called a controlled experiment.
Discuss why experimental results must be reproducible in order to be considered valid?
If the experiment is not reproducible, no one can perform the experiment independently to confirm the results.
What does a reliable experiment mean?
A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.
Why is a control needed in a valid experiment?
To comare and contrast the differences and similarites.Im not really sure if this is right becuz i had the same question so ill see th votes in a few.Well wish me and u good luck cuz for me its due on monday
Which procedure must be followed for the results of an experiment to be considered valid?
A valid experiment is the one which is done on the basis of some facts and figures. The experiment which has a good statistical analysis is known to be valid experiment.step 3.
Why a control needed in a valid experiment?
A control is needed in a valid experiment because without controls then more then one variable is being tested. This can mess up the results.
What is an experiment in which only one factor is allowed to vary?
A valid one. An experiment cannot conclusively prove anything if more than one independent variable is altered at a time. That being said, many dependent variables could show change and the experiment would still be valid, as long as only one independent variable was altered at a time. An experiment that changes only one variable at a time is called a controlled experiment.
How do you identify the range of a function?
The range of a function is the interval (or intervals) over which the independent variable is valid, i.e. results in a valid value of the function.
What makes a valid experiment?
A valid experiment is characterized by a clear hypothesis, a control group for comparison, random assignment of participants, and the ability to replicate the results. It should also have ethical considerations and controls in place to minimize bias and confounding variables.
Why it is important to have constants in an experiment?
In order for the results to be valid, the dependent variable can only be affected by the independent variable, so somethings need to be kept CONSTANT. The things that need to be kept constant are called CONTROLLED VARIABLES. Even if controlled variables are affecting the dependent variable(s), which they usually do, keeping them constant will ensure that all trials of an investigation were equally impacted by the controlled variables, therefore allowing one to see the impact of an independent variable on the dependent variable. All in all, a 'constant' in a science experiment should actually be called a 'controlled variable' and the description of such a variable is described in the third point. Hope this clarifies.
Why is it important to have a constant in an experiment?
In order for the results to be valid, the dependent variable can only be affected by the independent variable, so somethings need to be kept CONSTANT. The things that need to be kept constant are called CONTROLLED VARIABLES. Even if controlled variables are affecting the dependent variable(s), which they usually do, keeping them constant will ensure that all trials of an investigation were equally impacted by the controlled variables, therefore allowing one to see the impact of an independent variable on the dependent variable. All in all, a 'constant' in a science experiment should actually be called a 'controlled variable' and the description of such a variable is described in the third point. Hope this clarifies.
To be a valid scientific experiment the results must be?
Repeatable
To be valid an experiment must not include?
To be valid, an experiment must not include bias, confounding variables, or unreliable measures in order to accurately assess the cause-and-effect relationship between variables.
Why it is important to test one variable at a time?
So that you can be reasonably sure that the results you get are valid because of your changes to the one variable you are studying. This is really a question of validity rather than accuracy. To be valid, an experiment must really measure what you think you are measuring. If you change two variables at the same time, you don't know which one is causing your results, so your conclusion may be invalid. Accuracy is how close your measurement is to the true value. You may measure something very accurately, but if you don't know which variable caused it, it won't be a valid experiment.
Why is it important to constants in an experiment?
In order for the results to be valid, the dependent variable can only be affected by the independent variable, so somethings need to be kept CONSTANT. The things that need to be kept constant are called CONTROLLED VARIABLES. Even if controlled variables are affecting the dependent variable(s), which they usually do, keeping them constant will ensure that all trials of an investigation were equally impacted by the controlled variables, therefore allowing one to see the impact of an independent variable on the dependent variable. All in all, a 'constant' in a science experiment should actually be called a 'controlled variable' and the description of such a variable is described in the third point. Hope this clarifies.
Discuss why experimental results must be reproducible in order to be considered valid?
If the experiment is not reproducible, no one can perform the experiment independently to confirm the results.
What does a valid experiment must include?
A valid experiment must include a control group for comparison, random assignment of participants to groups, manipulation of an independent variable, and measurement of a dependent variable to test the hypothesis.
