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It shouldn't be a blind guess - good hypotheses are informed by the background research you performed and/or preliminary data you may have already generated in the lab when choosing your experiment's topic. A hypothesis is essentially a prediction of the experiment's result. He would also grow the exact same number and species of corn crops at the same time and in the same type of soil in each replication of his experiment. He would make sure the chemical composition of his fertilizers used did not differ in some way besides its nitrogen concentration - for instance, he would not use a fertilizer with a higher concentration of magnesium for one of his corn crops. He would give each corn crop the exact same amount of fertilizer.

For instance, in our fertilizer experiment example, our scientist would grow multiple corn crops in soil supplemented with fertilizers whose nitrogen concentration differs.

One vital concern when performing an experiment is to adjust only the specific variable(s) you are testing for (and no other variables.) X Trustworthy Source Science Buddies Expert-sourced database of science projects, explanations, and educational material Go to source In general terms, a scientist performs an experiment for a range of values for the variable he's testing for. Good scientific experiments test specific, measurable parameters called variables. Have past experiments answered the question you want your experiment to study? If so, is there a way to adjust your topic so that it addresses questions left unanswered by existing research?

If you intend to do serious scientific research, research your topic extensively before you even begin to plan your experiment. Modern scientific knowledge is very, very vast.A much better question to design an experiment around would be "What concentration of nitrogen in fertilizer produces the largest corn crops?" For instance, if you want to do an experiment on agricultural fertilizer, don't seek to answer the question, "Which kind of fertilizer is best for growing plants?" There are many different types of fertilizer and many different kinds of plants in the world - one experiment won't be able to draw universal conclusions about either.X Trustworthy Source Science Buddies Expert-sourced database of science projects, explanations, and educational material Go to source To get ideas, look for gaps in the current scientific literature. Pick a topic or an unanswered question with a small, testable scope. Scientific knowledge is built upon the accumulation of data from countless experiments. The vast majority of experiments answer small, specific questions. Experiments whose results cause sweeping scientific paradigm shifts are very, very rare. In this case, they say that "Weekly therapy sessions are shown to reduce anxiety symptoms in adults ages 25 to 40.Pick a specific topic. Report the results: Researchers write a report that includes their hypothesis, information on participants, variables, procedure, and conclusions drawn from the study. After this period, people in group 1 report significant improvements in their anxiety symptoms, whereas those in group 2 report no significant changes. Examine the results: Participants record their symptoms and any changes over a period of three months. Group 1 may attend therapy once per week, whereas group 2 does not attend therapy. They work with therapists to create a consistent program that all participants undergo. Test your hypothesis: Researchers collect data on participants' anxiety symptoms. Ask a question: The question they want to answer in their study is: Do weekly psychotherapy sessions reduce symptoms in adults ages 25 to 40 with generalized anxiety disorder?

Make an observation: The researchers choose to focus their study on adults ages 25 to 40 with generalized anxiety disorder.