Understanding the Role of Data in Science Fair Projects

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<h3>Understanding the Role of Data in Science Fair Projects</h3>

The number of kids in your class who prefer apples to oranges, how a stain responds to a cleaner and the inches a tomato plant grew when watered with lemonade are all examples of data. Facts, observations or statistics assembled for analysis represent data. In a science fair, data is the answer to the question you asked when you made a hypothesis. If you are unclear about the methods for the science fair, ask your teacher for help.

Two Types of Data

Data is usually divided into two categories — quantitative and qualitative. Numeric information which is measured with tools such as a ruler or graduated cylinder is quantitative data. For example, you might measure the amount of rainfall over a month or determine how much a plant grew when kept in a dark room. Qualitative data involves the look, taste, smell, texture or sound of something described with words. When you observe that ketchup leaves a darker stain than mustard does on a white shirt, you are collecting qualitative data.



Dave Pennells

By Dave Pennells

Dave Pennells, MS, has contributed his expertise as a career consultant and training specialist across various fields for over 15 years. At City University of Seattle, he offers personal career counseling and conducts workshops focused on practical job search techniques, resume creation, and interview skills. With a Master of Science in Counseling, Pennells specializes in career consulting, conducting career assessments, guiding career transitions, and providing outplacement services. Her professional experience spans multiple sectors, including banking, retail, airlines, non-profit organizations, and the aerospace industry. Additionally, since 2001, he has been actively involved with the Career Development Association of Australia.