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    • Anomaly: An anomaly is an observation that differs from expectation or from accepted scientific views. Anomalies lead scientists to revise a hypothesis or theory.
    • Central Limit Theorem: The central limit theorem states that with a sufficiently large sample, the sample mean will be normally distributed. A normally distributed sample mean is necessary to apply the t test, so if you are planning to perform a statistical analysis of experimental data, it’s important to have a big sample.
    • Conclusion: The conclusion is your determination of whether the hypothesis should be accepted or rejected. It is one of the steps of the scientific method.
    • Control Group: The control group is the set of test subjects randomly assigned to not receive the experimental treatment. In other words, the independent variable is held constant for this group.
    • Experiment Definition in Science
    • Key Parts of An Experiment
    • Examples of Experiments
    • Examples of Things That Are Not Experiments
    • Types of Experiments
    • References

    By definition, an experiment is a procedure that tests a hypothesis. A hypothesis, in turn, is a prediction of cause and effect or the predicted outcome of changing one factor of a situation. Both the hypothesis and experiment are components of the scientific method. The steps of the scientific method are: 1. Make observations. 2. Ask a question or...

    The two key parts of an experiment are the independent and dependent variables. The independent variable is the one factor that you control or change in an experiment. The dependent variable is the factor that you measure that responds to the independent variable. An experiment often includes other types of variables, but at its heart, it’s all abo...

    Fertilizer and Plant Size

    For example, you think a certain fertilizer helps plants grow better. You’ve watched your plants grow and they seem to do better when they have the fertilizer compared to when they don’t. But, observations are only the beginning of science. So, you state a hypothesis: Adding fertilizer increases plant size. Note, you could have stated the hypothesis in different ways. Maybe you think the fertilizer increases plant mass or fruit production, for example. However you state the hypothesis, it inc...

    Salt and Cookies

    You don’t need a lab for an experiment. For example, consider a baking experiment. Let’s say you like the flavor of salt in your cookies, but you’re pretty sure the batch you made using extra salt fell a bit flat. If you double the amount of salt in a recipe, will it affect their size? Here, the independent variable is the amount of salt in the recipe and the dependent variable is cookie size. Test this hypothesis with an experiment. Bake cookies using the normal recipe (your control group) a...

    Based on the examples of experiments, you should see what is notan experiment: 1. Making observations does not constitute an experiment. Initial observations often lead to an experiment, but are not a substitute for one. 2. Making a model is not an experiment. 3. Neither is making a poster. 4. Just trying something to see what happens is not an exp...

    There are three main types of experiments: controlled experiments, natural experiments, and field experiments, 1. Controlled experiment: A controlled experiment compares two groups of samples that differ only in independent variable. For example, a drug trial compares the effect of a group taking a placebo(control group) against those getting the d...

    Bailey, R.A. (2008). Design of Comparative Experiments. Cambridge: Cambridge University Press. ISBN 9780521683579.
    di Francia, G. Toraldo (1981). The Investigation of the Physical World. Cambridge University Press. ISBN 0-521-29925-X.
    Hinkelmann, Klaus; Kempthorne, Oscar (2008). Design and Analysis of Experiments. Volume I: Introduction to Experimental Design(2nd ed.). Wiley. ISBN 978-0-471-72756-9.
    Holland, Paul W. (December 1986). “Statistics and Causal Inference”. Journal of the American Statistical Association. 81 (396): 945–960. doi:10.2307/2289064
    • Anne Marie Helmenstine, Ph.D.
    • Central Limit Theorem: States that with a large enough sample, the sample mean will be normally distributed. A normally distributed sample mean is necessary to apply the t-test, so if you are planning to perform a statistical analysis of experimental data, it's important to have a sufficiently large sample.
    • Conclusion: Determination of whether the hypothesis should be accepted or rejected.
    • Control Group: Test subjects randomly assigned to not receive the experimental treatment.
    • Control Variable: Any variable that does not change during an experiment. Also known as a constant variable.
    • Ask a Question. The scientific method starts when you ask a question about something that you observe: How, What, When, Who, Which, Why, or Where? For a science fair project some teachers require that the question be something you can measure, preferably with a number.
    • Do Background Research. Rather than starting from scratch in putting together a plan for answering your question, you want to be a savvy scientist using library and Internet research to help you find the best way to do things and ensure that you don't repeat mistakes from the past.
    • Construct a Hypothesis. A hypothesis is an educated guess about how things work. It is an attempt to answer your question with an explanation that can be tested.
    • Test Your Hypothesis by Doing an Experiment. Your experiment tests whether your prediction is accurate and thus your hypothesis is supported or not. It is important for your experiment to be a fair test.
  1. The scientific method involves making observations and asking questions. Scientists form hypotheses based on these observations and then develop controlled experiments to collecting and analyze data. Using this data, they are able to draw conclusions and form questions for new scientific research.

  2. The scientific method. At the core of biology and other sciences lies a problem-solving approach called the scientific method. The scientific method has five basic steps, plus one feedback step: Make an observation. Ask a question. Form a hypothesis, or testable explanation. Make a prediction based on the hypothesis.

  3. 5. Test the predictions. To test the hypothesis, we need to make an observation or perform an experiment associated with the prediction. For instance, in this case, we would plug the toaster into a different outlet and see if it toasts. If the toaster does toast, then the hypothesis is supported—likely correct.

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