Instruction
You need to formulate a thesis question, then devise a method for answering it. You MUST have an experimental component to your post to test your hypothesis and account for potential other factors as well. This is generally done through many iterations of control and experimental tests and analysis of resulting data. Big data testing is time consuming but produces the highest confidence in research analysis. For this project, it is not necessary to produce an elaborate experimentation design. Just be sure to demonstrate you fully understand how to effectively utilize the SM.
Do not simply pose an obvious fix to a simple problem. Pose a problem that has multiple potential solutions and test each one independently. Or, pose one hypothesis to answer an unanswered question about a thing or system and then test that hypothesis. If a remote control stops working, changing the batteries is an obvious answer to the common issue of an inoperable remote control. So, that is not an adequate example of using the SM in everyday life. If flashlight stops working it could be the batteries of the bulb. Changing one or both will probably fix the problem.
Everyone uses the scientific method in making everyday decisions. Let's use the SM to solve a testable problem. Be sure to have a testable problem that requires multiple tests to find the best answer from multiple possible answers. Avoid scenarios where you already know the answer to your testable question. Pick a scenario that has several possible answers that require series of testing. However, we do not need to perform an extensive scientific experiment, but we do want to form a SM scenario that could have multiple answers that are narrowed down to one credible answer through hypothesis testing, experimentation, and observation. Be creative and have fun with it, but also be as thorough and scientific as you can in an 'everyday application' of the SM.
- Find a problem to solve and devise an empirically testable hypothesis that solves the problem - a hypothesis is a prediction, based on reasonable assumptions, about the problem to be solved.
- Design a replicable test to your hypothesis. Be sure to isolate variables so you can explain why you saw the results of your tests.
- The more tests you run, the better the chances your hypothesis is rejected or accepted by sound data-driven analysis and not simply a one time conformational bias test.
- Be organized in your project.
- Write up the results of the tests and evaluate your hypothesis and experiment design.
- Address the questions listed below in your write up.
- Proofread your posts for writing quality and clarity before submitting.
- Minimum 250 words of original text.
- NO Reference section needed this week, so long as your test does not require outside sources for explanation.
- If a photo helps illustrate your example, include it. If you do include a photo, it must be visible, so I suggest inserting it into the post and then also attaching the photo file at the end of the post.
Questions to Address:
1.) Review the discussion of the Scientific Method in the text and think of how it applies to everyday life.
2.) Describe an everyday problem-solving situation in which you can apply the SM. Follow the Diagram below.
a.) What is your example situation?
b.) What is your hypothesis for testing your assumptions about the situation?
c.) How do you test your hypothesis? (How would you collect and analyze the data regarding your example situation?)
3.) Describe the experiment. Be specific and organized. Provide a step-by-step procedure for the experiment.
4.) Analyze the results.
a.) Was your hypothesis supported by the experiment?
b.) If not, how would you revise it for the next situation?
c.) Could there be another potential explanation other than that held in your hypothesis? If so, how would you test for alternative hypotheses or extraneous explanations to your experiment?