First, choose 1 of the following observations or questions:
After choosing 1 of the above options (observation and question), you will do some library or Internet research about the subject. Once you have become familiar with the topic, propose a testable hypothesis to answer the question, and follow the rest of scientific method to determine if your hypothesis is correct by designing a controlled experiment.
You will not actually do the experiment or collect results; rather, you will propose a workable controlled experiment and make up what would seem to be reasonable results. You will then discuss those imagined results and draw a conclusion (based upon your imagined results) about whether or not to accept your hypothesis.
Complete the steps of the scientific method for your choice of observation and question using the directions below. Use the following headings in your paper.
The introduction is an investigation of what is currently known about the question being asked. Before one proposes a hypothesis or dashes off to the lab to do an experiment, a thorough search is made in the existing literature about the specific question and about topics related to the question. Once one is familiar with what is known about the question under consideration, one is in a position to propose a reasonable hypothesis to test the question.
This is an educated guess or a best guess about what might be the explanation for the question that is asked. A hypothesis should be a 1-sentence statement (not a question) that can be tested in an experiment. A hypothesis can be stated as a prediction using an if/then statement. The ability to test a hypothesis implies that it has a natural, repeatable cause.
The hypothesis is tested in a controlled experiment. A controlled experiment compares a control (e.g., the normal, unmodified, or unrestricted, or uninhibited set-up based on the observation) to one or several experimental set-ups. The conditions in the experimental set-ups are identical to the control in every way (e.g., temperature, composition, shape, kind, etc.), except for the one experimental variable that is being tested. The results obtained from the experimental set-ups will be compared to each other and to those obtained from the control. If done correctly, any differences in the results may be attributed to the experimental variable under consideration.
When designing an experiment, it is important to use multiples (replicates) for each set-up to avoid drawing the wrong conclusion. If the experiment only has one control and only one experimental setup with just one test subject in each, there is always the chance that a single living organism (test subject) could get sick or even die for reasons not caused by the experimental variable. Because living organisms are genetically different, the results from just one test subject in a given setup may not be typical for the species as a whole. This could result in errors when interpreting the results. This kind of problem is avoided by using multiple controls and multiple experimental setups with multiple test subjects.
Be sure to provide sufficient details in your method section so that someone could reproduce your experiment.
The experimental method section should also state clearly how data (numbers) will be collected during the experiment, which will be used to compare results in each test setup.
Because this is a suppositional experiment, you will make up results according to what you think might happen if you actually did the experiment.
Results should include detailed raw data (numbers) rather than just a summary of the results. For example, if data are collected daily for five weeks, results should include the actual data from each day, and not just a summary of what happened at the end of the five weeks. Recorded results should match the experimental method.
In this section, clearly state whether you reject or accept the hypothesis based on the (imagined) results. Discuss what this means in terms of the hypothesis, such as the need for additional experiments or the practical uses or implications of the results.