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Designing an Experiment

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Title: Designing an Experiment


1
Designing an Experiment
2
Think of a Question
(1)
  • What do you want to know?
  • What is the effect of the____on the _____?
  • Change the question into a Title statement
  • The Effect of the _____________ on the
    _______________.

Independent Variable
Dependent Variable
3
Example What is the effect of a class on a
students stress level?
4
Make a Hypothesis
(2)
  • A prediction of the experiments outcome
  • If the __________________ changes then the
    _________________ will __________________.

independent variable
dependent variable
(guess??)
5
Design the Experiment
  • What is your goal?
  • What will you do to test your hypothesis?

6
Independent Variable (IV)
(3a)
  • The one variable that the experimenter _______
  • Each experiment should have only
  • ____

changes
ONE
  • Levels
  • Various changes that will be made to the IV

7
Dependent Variable (DV)
(3b)
  • The variable that changes due to the __
  • This is the ___ that you measure

IV
data
8
Constants
(3c)
  • Factors that stay the ____
  • There are many in an experiment

same
9
Control
(3d)
  • Used as a ________
  • Unchanged/Natural
  • Not present in all experiments.

comparison
10
Make Observations Record Data
(4)
  • Two Types of Data
  • _________
  • Quantities,
  • Numbers
  • __________
  • Qualities,
  • Descriptions,
  • Comparisons

Class Heart Rate
Math 72 bpm
English 86 bpm
History 74 bpm
Quantitative
Qualitative
Class Pulse Quality
Math Normal
English Strong
History Slightly Above Norm
11
Observations and Data
  • Your data table should include the IV
    independent variable you are testing and the DV
    dependent variable or the data you are collecting.

12
Trials
  • More trials
  • More __________

reliable results
13
Study Results
  • Data often shown as a ____so the experimenter
    can analyze the data.

graph
14
Sources of Error
  • Things in an experiment that may affect the
    results

15
Conclusion
(5)
  • 5 Sentences
  • Purpose of the experiment
  • Was Hypothesis supported or not
  • How Data supports/does not support Hypothesis
  • Sources of Error
  • Conclusion you can draw
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