Presenter: Dr. Thomas Hiscox
Website: tomhiscox.com
Slide Availability: BIO1011 Moodle page under Week 2 "Reflect" section and "Weekly seminar information"
Recognition of the traditional, unceded lands of the Kulin nations.
Respect paid to both past and present Elders.
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Scientific Method - Revision
Experimental Variables
a. Controlled Variables
b. Independent Variable
c. Dependent Variable
Developing a Hypothesis
Inductive Reasoning
Make observations first.
Make repeated observations.
Develop generalization explaining observations (hypothesis).
Test hypothesis with controlled experiments.
Deductive Reasoning
Start with a general principle or rule.
Make predictions based on the principle (hypothesis).
Conduct experiments to test the hypothesis.
Modify hypothesis based on results.
Inductive Reasoning Example: Darwin's observation on finch beak shapes and diets.
Deductive Reasoning Example: All mammals have mammary glands; dolphins have mammary glands; therefore, dolphins are mammals.
A systematic approach to problem-solving using measurable, empirical evidence from repeated experimentation.
Make an observation.
Ask a question.
Form a hypothesis based on background research.
Make a prediction related to hypothesis.
Test the prediction.
Conclude if data supports the hypothesis.
Importance of Controls: Necessary to eliminate influences of random factors outside the variable under investigation.
Control Group: Similar to experimental group but not exposed to the experimental variable.
Negative Control Group: No change expected; confirms that no other factors affect results.
Positive Control Group: Demonstrates expected result to validate experimental setup.
Dependent Variable: The variable being tested.
Independent Variable: The variable manipulated by the scientist.
Controlled Variables: Kept constant to isolate the independent variable.
An explanation based on observations leading to a testable prediction.
Hypothesis proposes a relationship between independent and dependent variables.
Prediction details the expected outcome if the hypothesis is correct.
Must be testable by experimentation.
Must be justifiable by evidence.
Multiple hypotheses are acceptable.
It’s acceptable for a hypothesis to be incorrect; revise and retest.
Hypotheses must be supported by experimental evidence.
Limited to specific phenomena; broader claims become theories.
Observation: Deep tread patterns on cars affect braking distance.
Independent Variable: Tyre tread pattern.
Dependent Variable: Braking distance.
Controls: Car type, road conditions, weight, etc.
Negative Control: Tyres with no tread to show baseline results.
Systematic Error: Inconsistencies in measurement; can result from poor design or lab practice.
Random Error: Variability in results due to small sample analysis; average and standard deviation can vary over multiple trials.
Utilize graphical data presentation with 95% confidence intervals.
Employ statistical tests (like Student’s T-test) to compare data sets.
Prepare for group presentations related to the scientific method and experiments.
Open floor for any inquiries related to the content presented.