The Steps:
Make observations
Develop a question
Formulate a hypothesis
Conduct a controlled experiment
Draw Conclusions
Share Results
Two Scientific Approaches:
Hypothesis-based - Manipulate and see what happened (run an experiment). Explanatory variable- cause (what is being manipulated ) Response variable- Effect
Control and Treatment Group - The control group is an unchanged situation. The treatment group is the changed situation.
Experiments must have both groups.
Can have more than one treatment group.
Descriptive-based- Observe and record (doesn’t alter what occurs)
Data approaches: Quantitative vs. Qualitative
Quantitative (objective) - continuous numbers, only numbers.
Qualitative (subjective) - Words/ descriptions, categories.
Bias: can be reduced
Single-blind - The patient does NOT know what treatment they received, but the doctor does.
Double-blind - Both the patient and doctor do NOT know which is the placebo (fake) or real drug.
Sample size: Number of replicates in the study/experiment. More is better.
Can science prove things? NO. We only “support” or “fail to support” a hypothesis.
Fact: An observation. Ex- the sky is blue
Hypothesis: Proposed explanation for an observation. Must be testable.
Theory: Explains a great many observations. Supported by evidence.
Universal Gravitational Theory
Evolution by Natural Selection
Earthquakes from Plate Tectonics
Climate change Buildup of Greenhouse Gasses
How to read them:
Title and authors
Abstract- summary of the whole paper.
Intro- background information on the study. Hypothesis and predictions.
Methods- details of how the study/experiment was set up.
Results- data, tables/graphs
Discussion- Conclusion
References- other’s research
Science: the pursuit of knowledge using the scientific method
Fraud: Deliberate lies
Pseudoscience: the belief or practice not based on science or fact.
Science:
Changes with new evidence
Follows evidence
Embraces criticism
Pseudoscience:
Fixed and unyielding ideas
Starts with conclusion
Hostile towards criticism
Requirements: Title, labels, consistent axis increments, data types (quantitative or quantitative).
Bar Graph:
Comparing different groups
Starts y-axis at 0
Compares absolute value
Line Graph:
Comparing change (time)
Doesn’t always need a y-axis at 0
Time often on the x-axis
Pie Graph:
Comparing parts of a whole
Wedges need to represent the percentage