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Unit 12: Experimental Design Vocabulary

Unit 12: Experimental Design Vocabulary. Question. Come up with a question when identifying a problem. The question must be clear and testable, which means that it must be measurable and controllable .

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Unit 12: Experimental Design Vocabulary

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  1. Unit 12: Experimental DesignVocabulary

  2. Question • Come up with a question when identifying a problem. • The question must be clear and testable, which means that it must be measurable and controllable. • An example would be, “If plants are provided with light, then they survive longer than plants that are not provided with light.” The problem, or question, we want to answer is: • Do plants need light to survive?

  3. Hypothesis • This is where you make an educated guess and answer your question. • It is a supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation. • With the hypothesis comes your prediction (If my hypothesis is correct, then these are the results that I expect...). • Example: If plants can’t grow in the dark, then the plants will die.

  4. Constant • These are the variables that remain the same for all the trials. • Everything in the experiment has to be constant. • For example, with our plant experiment, the amount of water, air, humidity, noise, etc. all have to be the same, or constant. • If they aren’t the same, then you will have more than one variable, and your results will not be valid.

  5. Variable • In your experiment, you will be changing only one variable. • A variable is the part of the experiment you change or manipulate. • After changing the variable, you then measure or compare the results to the control. • For example, placing plants in locations where different amounts of light are available.

  6. Data • During your experiment, make sure to collect your results on a data table and graph. • You may use Excel to help you create a data table and graph. • Examples:

  7. Results • Your results should include a statement about whether or not your data supports or does not support your hypothesis. • Remember that in experimental design, we do not “prove” a hypothesis to be right or wrong. • Use data to back up your statements. • Use your data to explain and interpret results. • Example:

  8. Solar Energy • The energy of sunlight

  9. Physical Properties • The characteristics of a substance that can be observed or measured without changing the substance • Examples: • mass, magnetism, physical state (solid, liquid, and gas) • relative density (sinking and floating) • solubility in water • the ability to conduct or insulate thermal energy or electric energy • the boiling and freezing points of water on the Celsius scale

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