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Explore the scientific method through a fun experiment on the mass changes of gum after chewing for 10 minutes. Learn about variables, controls, data collection, and drawing conclusions. Discover what affects the mass of gum during the chewing process.
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Bubble Gum Lab And the scientific method
Why do we do labs? To answer a question! Todays question: What happens to the mass of the gum after it is chewed for 10 min? Your Hypothesis should answer this question and should be testable! My Hypothesis: If… Then… Because… Example: If I work the with the dog for 20 minutes a day, she will learn to sit, shake and lay down because she responds well to treats rather than yelling.
What depends on what? Variables. • Independent Variable: The thing that changes Example: The independent variable is how much each of the same type of plant gets watered • In the bubble gum lab the IV is: ______________________ • Dependent Variable: The result! (this DEPENDS on the independent variable) Example: The dependent variable is how tall the plant grows • In the bubble gum lab the DV is: ______________________
What stays the same? • Controlled Variables: Things that stay the same! Examples: Type of plant, amount of sunlight, type of soil, temperature, ect. • 3 Controlled Variables in the Bubble Gum lab are: 1. 2. 3.
Procedure: How are we going to do this? • Todays procedure: • Mass first piece of gum (without the wrapper). Record in data table. • Have the gum chewed for 10 min (use timer). • Mass gum. Record in data table. • Repeat for other types of gum.
Graph your data What kind of graph are we going to use? Why? Where do the independent/dependent variable go? Axis/title labels!!
Conclusions: what did we learn? • Was your hypothesis supported? Did your evidence make your hypothesis true? • My hypothesis was/was not supported. • Answer in complete sentences: What happened to the mass of the gum? What did the mass of the gum change? Which gum changed the least in mass? Why?
Errors: We are human! • Identify and explain 3 possible errors that could have effected your data. • Examples: The seeds for the plants came from different packages even though they were the same type. The water was estimated in a pitcher rather than using a graduated cylinder to measure.