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Scientific Method. Steps in the Scientific Method  Observation  Hypothesis  Experiment  Data Collection  Conclusion  Retest.

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Presentation on theme: "Scientific Method. Steps in the Scientific Method  Observation  Hypothesis  Experiment  Data Collection  Conclusion  Retest."— Presentation transcript:

1 Scientific Method

2 Steps in the Scientific Method  Observation  Hypothesis  Experiment  Data Collection  Conclusion  Retest

3 Observations  Gathered through your senses  A scientist notices something in their natural world

4 Observations  An example of an observation might be noticing that many salamanders near a pond have curved, not straight, tails

5 Hypothesis  A suggested solution to the problem.  Must be testable  Sometimes written as If…Then… statements  Predicts an outcome

6 Hypothesis  An example of a hypothesis might be that the salamanders have curved tails due to a pollutant in the moist soil where they live.

7 Experiment  A procedure to test the hypothesis.

8 Experiment Variable – factor in the experiment that is being tested

9 Experiment A good or “valid” experiment will only have ONE variable!

10 Controls and Variables

11 Scientific Experiments Follow Rules  An experimenter changes one factor and observes or measures what happens.

12 The Control Variable  The experimenter makes a special effort to keep other factors constant so that they will not effect the outcome.  Those factors are called control variables.

13 What is the Purpose of a Control?  Controls are NOT being tested  Controls are used for COMPARISON

14 Other Variables  The factor that is changed is known as the independent variable.  The factor that is measured or observed is called the dependent variable.

15 One more thing… it is best to make several trials with each independent variable.

16 Valid Experiments

17 Remember: To be a Valid Experiment:  Two groups are required --- the control & experimental groups  There should be only one variable

18 Data  Results of the experiment  May be quantitative (numbers) or qualitative

19 Data  Must be organized  Can be organized into charts, tables, or graphs

20 Conclusion  The answer to the hypothesis based on the data obtained from the experiment

21 Retest In order to verify the results, experiments must be retested.

22 Review

23 Solving a Problem 1)Identify a Problem 2) State Observations about the problem 3) Form a Hypothesis about the problem (if…then…) 4) Design an Experiment to test the hypothesis 5) Collect Data 6) Form a Conclusion 7) Retest

24 Theories and Scientific Law

25 Theory  A theory is: –A well tested explanation that makes sense of a great variety of scientific observations –It gives rise to many hypotheses that can be tested. –This definition contrasts with use of theory as a speculation. –Provides a framework for further research and predictions

26 Theories Cont’d  Examples of theories:  Theory of evolution  Theory of relativity  Atomic theory  All of these theories are well documented and proved beyond reasonable doubt. Yet scientists continue to tinker with the component hypotheses of each theory in an attempt to make them more concise, or to make them more all-encompassing.  A theory is developed only through the scientific method, meaning it is the final result of a series of rigorous processes.  Note that theories do not become laws.

27 Scientific Law  Scientific Law: –generalizes a body of observations –they tend to be more mathematical in nature –One way to tell a law and a theory apart is to ask if the description gives you a means to explain 'why'. –Example: Consider Newton's Law of Gravity. Newton could use this law to predict the behavior of a dropped object, but he couldn't explain why it happened.


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