Scientific Method lecture

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Transcript Scientific Method lecture

Introduction to the Scientific
Method
Key Vocabulary
Analyze - Review the data from an experiment to
find out what they mean (evidence) (see interpret).
Assumption - Something that is believed to be true
without proof (see inference).
Compare - Look at to find similarities and
differences.
Key Vocabulary
Conclusion - The summary of an experiment, based
on data (reasoning).
Data - Information from an experiment (evidence).
Evidence - Data used to support a conclusion.
Experiment - A test that is done to support or
disprove a hypothesis (claim).
Key Vocabulary
Hypothesis - An idea or question that can be tested
(claim) (see predict).
Inference - Assume a fact, without proof, based on
previous experience (see assumption).
Interpret - Explain what something means; explain
results of an experiment (evidence) (see analyze).
Key Vocabulary
Investigation - A process designed to answer a
question.
Measure - Obtain information about something
(weight, length, width, height, etc.).
Observe - To watch or look at something to get
information (evidence).
Key Vocabulary
Predict - Determine what you think will happen
when you do an experiment before you do the
experiment (claim) (see hypothesis).
Qualitative Data - Data that cannot be expressed by
numbers (the flower smells nice, pepperoni pizza is
the best type of pizza, baseball is a better sport than
football).
Key Vocabulary
Quantitative Data - Data that can be expressed by
numbers (there are 30 students in my class; I weigh
98 pounds; I ate a pound of potatoes).
Variable - A part of an experiment that is changed.
Science is Real
Steps in the Scientific
Method
Step I - A question or problem.
Step II – Research.
Step III – Hypothesis (claim).
Step IV - Experiment.
Steps in the Scientific
Method
Step V – Analyze data (evidence).
My hypothesis is correct.
Start over
My hypothesis is incorrect.
Steps in the Scientific
Method
Step VI – Conclusion
Review I
Review II
Review III
Scientific Method
Observations vs. Inference
Quantitative vs. Qualitative Data