The Nature of Science and Statistical Analysis
Nature of Science
Science seeks to understand the natural world through observation and reasoning.
Starts with observations (e.g., classification of life, genome sequencing).
Reasoning in Science
Deductive reasoning: general principles to specific predictions.
Inductive reasoning: specific observations to general conclusions.
Systematic Approach to Science
Steps: Observation, Hypothesis formation, Prediction, Experimentation, Conclusion.
Hypothesis
A hypothesis is a potential explanation for observations.
Must be tested for validity and can be refined with new data.
Should produce predictions that can be tested.
Experimentation
Designed to test hypotheses, focusing on one variable.
Involves test and control experiments.
Designing Experiments
Identify variables: Independent (manipulated), Dependent (measured), Controlled (constant).
Design procedure and make predictions based on the hypothesis.
Consider replication and control conditions.
Statistics Overview
Data: Information/results from experiments.
Descriptive statistics: summarizing main features (mean, median, mode, etc.).
Inferential statistics: drawing conclusions from data with random variation.
Descriptive Statistics Definitions
Mean: average value.
Median: middle value in sorted list.
Mode: most frequent value.
Range: difference between highest and lowest values.
Variance: spread measurement of data.
Standard Deviation: square root of variance.
Standard Error: accuracy of an estimate.
Inferential Statistics Applications
Assess relationships between variables.
Examples: t-test, ANOVA, correlation, regression analysis.
Data Presentation
Tables: for multiple dependent variables.
Graphs: for visual relationships (line and bar graphs).
Line graphs: for continuous data.
Bar graphs: for discrete categories.
Philosophy of Science
Reductionism: breaks complex processes into simpler parts.
Systems science: focuses on emergent properties.
Scientific Theory
Body of interconnected concepts backed by evidence.
Unlike general theory, it indicates strong certainty rather than guesswork.