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Scientific Method Steps
Observation
Hypothesis
Experiment
Conclusion
Observation
New observations are made and previous data are studied
Use all senses
Hypothesis
A testable statement
Scientists use inductive reasoning to come up with a tentative explanation for a natural event
Must be written as a falsifiable statement which means it must be able to be proven FALSE
Experiment
The hypothesis is tested
Use deductive reasoning (if/then)
Good experimental design ensures that testing is specific and results are meaningful
Good experiments have a control group and experimental group
Control Group
Sample that goes through all the steps of an experiment but lacks the factor or is not exposed to the factor being tested
Experimental Group
Sample that goes through all the steps of an experiment and is tested or exposed to the factor
Data
Observations and numerical results
Cannot be subjective but must be observable and objective
Usually displayed in a graph or table
Good experiments need to have a large sample size to make it less likely that the result is due to change alone
Conclusion
Results are analyzed and the hypothesis is either supported or rejected
A statement that explains whether the hypothesis is supported by the data or not
Experiment must be repeatable to be valid
Theory
A concept supported by a broad range of observations, experiments and data
A concept is generally accepted because of well-supported conclusions
Law
Theories generally accepted by an overwhelming number of scientists
Variable
Anything that can change.
Independent variable
altered intentionally by the scientists
The experimental variable
Dependent variables
are observed and measured to see what impact occurs due to changing the independent variable
The difference between a controlled group and the experimental group
The the experimental group recieves a treatment
The independent VARIABLE is the only thing altered
All other conditions between the two groups must be identical (controlled)
Confounding variables
A variable is confounded when its effect on a response variable cannot be distinguished from each other
Exists when an experiment is not controlled
A coach wanted to improve the team’s playing ability, making them run 2 miles a day, but also take vitamins.
In two weeks, they were playing better, but we don’t know from running or vitamins (confounding variables)