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Print Key Info Write the experimental procedure like a step-by-step recipe for your science experiment. A good procedure is so detailed and complete that it lets someone else duplicate your experiment exactly!
Repeating a science experiment is an important step to verify that your results are consistent and not just an accident. For a typical experiment, you should plan to repeat it at least three times more is better.
You will almost always need many more than three participants! Overview Now that you have come up with a hypothesis, you need to develop an experimental procedure for testing whether it is true or false.
The first step of designing your experimental procedure involves planning how you will change your independent variable and how you will measure the impact that this change has on the dependent variable.
Criminal Procedure: Investigation [Connected Casebook] (Aspen Casebook) [Erwin Chemerinsky;Laurie L. Levenson] on torosgazete.com *FREE* shipping on qualifying offers. Buy a new version of this Connected Casebook and receive access to the online e-book. Pearson Prentice Hall and our other respected imprints provide educational materials, technologies, assessments and related services across the secondary curriculum. Experimental research is a systematic and scientific approach to the scientific method where the scientist manipulates variables.
To guarantee a fair test when you are conducting your experiment, you need to make sure that the only thing you change is the independent variable. And, all the controlled variables must remain constant. Only then can you be sure that the change you make to the independent variable actually caused the changes you observe in the dependent variables.
Scientists run experiments more than once to verify that results are consistent. In other words, you must verify that you obtain essentially the same results every time you repeat the experiment with the same value for your independent variable.
This insures that the answer to your question is not just an accident. Each time that you perform your experiment is called a run or a trial. So, your experimental procedure should also specify how many trials you intend to run.
Most teachers want you to repeat your experiment a minimum of three times. Repeating your experiment more than three times is even better, and doing so may even be required to measure very small changes in some experiments. In some experiments, you can run the trials all at once. For example, if you are growing plants, you can put three identical plants or seeds in three separate pots and that would count as three trials.
In experiments that involve testing or surveying different groups of people, you will not need to repeat the experiment multiple times. However, in order to insure that your results are reliable, you need to test or survey enough people to make sure that your results are reliable.
How many participants are enough, what is the ideal sample size? Every good experiment also compares different groups of trials with each other. Such a comparison helps insure that the changes you see when you change the independent variable are in fact caused by the independent variable.
There are two types of trial groups: The experimental group consists of the trials where you change the independent variable. For example, if your question asks whether fertilizer makes a plant grow bigger, then the experimental group consists of all trials in which the plants receive fertilizer.
In many experiments it is important to perform a trial with the independent variable at a special setting for comparison with the other trials.
This trial is referred to as a control group. The control group consists of all those trials where you leave the independent variable in its natural state. In our example, it would be important to run some trials in which the plants get no fertilizer at all.
These trials with no fertilizer provide a basis for comparison, and would insure that any changes you see when you add fertilizer are in fact caused by the fertilizer and not something else.
However, not every experiment is like our fertilizer example. In another kind of experiment, many groups of trials are performed at different values of the independent variable.
For example, if your question asks whether an electric motor turns faster if you increase the voltage, you might do an experimental group of three trials at 1. In such an experiment you are comparing the experimental groups to each other, rather than comparing them to a single control group.
You must evaluate whether your experiment is more like the fertilizer example, which requires a special control group, or more like the motor example that does not. Whether or not your experiment has a control group, remember that every experiment has a number of controlled variables.A root canal is a treatment of the pulp of the tooth that is inflamed, infected, or dead.
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