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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:
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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.