![]() ![]() Don't throw out data points you think are bad or that don't support your predictions. Often, you'll prepare a table or graph of the data. Record observations and analyze the meaning of the data. For example, if you want to test the effects of light intensity and fertilizer concentration on the growth rate of a plant, you're really looking at two separate experiments. It's important to change only one variable for an experiment rather than try to combine the effects of variables in an experiment. You change or control the independent variable and record the effect it has on the dependent variable. An experiment has an independent and dependent variable. In reality, you probably expect a change but rejecting a hypothesis may be more useful than accepting one.ĭesign and perform an experiment to test your hypothesis. This is an easy type of hypothesis to test because it assumes changing a variable will have no effect on the outcome. One type of hypothesis is the null hypothesis or the no-difference hypothesis. Alternatively, it may describe the relationship between two phenomena. Usually, a hypothesis is written in terms of cause and effect. It is a statement used to predict the outcome of an experiment. This is a sort of educated guess about what you expect. The more you know about a subject, the easier it will be to conduct your investigation. Even if you can't access the full text of a published article, you can usually view the abstract to see the summary of other experiments. Scroll to the bottom of articles to check the references. In the modern era, a lot of your research may be conducted online. Write down your sources so you can cite your references. ![]()
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