CH5 Scientific investigations - short”
Scientific Investigations in Biology
Key Composition
ILMJ D Scientific Investigations
Key Knowledge
Biological Concepts: Understand definitions and significance of biological science concepts from the investigation.
Aim vs. Hypothesis vs. Theory vs. Law: Differentiate between aims, hypotheses, models, theories, and scientific laws.
Logbook Use: Logbook is essential to authenticate primary data generated.
Key Science Skills
Develop aims/questions, formulate hypotheses, and make predictions.
Plan and conduct investigations while following safety and ethical guidelines.
Generate, collate and record data; analyze and evaluate methodologies.
Construct evidence-based arguments and draw conclusions.
Types of Investigations
Experimental Investigations
Subjects are deliberately exposed to treatments (e.g., plants in different salinity levels) to observe results.
Enables observation of causation within biological contexts.
Observational Investigations
Data is collected without altering conditions (e.g., analyzing water samples for pollutants).
Provides insights based on natural occurrences.
The Scientific Method
A systematic process involving:
Asking questions
Planning investigations
Collecting data
Analyzing results
Concluding findings
Log Books
Purpose: Record experiments, results, and scientific reports with dates and lists of group members.
Definitions
Aim: Purpose of investigation linking IV and DV.
Hypothesis: Tentative, testable, and falsifiable statement predicting outcomes based on variables.
Model: Representation of ideas (e.g., mathematical models or conceptual frameworks).
Theory: Well-supported explanation based on investigation results (e.g., cell theory).
Law: Statement describing expected occurrences in nature (more stable than theories).
Variables in Experiments
Independent Variable (IV): The factor manipulated.
Dependent Variable (DV): The factor measured.
Controlled Variables (CV): All other factors kept constant.
Methodology in Investigations
Various methods including controlled experiments, fieldwork, modeling, etc.
Importance of ensuring reliability and validity within experimental processes.
Ethical Guidelines
Must adhere to health, safety, and ethical considerations throughout investigations.
Bioethics: Area involving moral conduct in research.
Focus on principles like integrity, justice, beneficence, non-maleficence, and respect.
Data Measurement Qualities
Accuracy
The closeness of a measurement to the true value.
Precision
Closeness of repeated measurements to each other;
repeatability and reproducibility are also critical in validating experiments.
Organizing and Analyzing Data
Primary data: Organize using tables, graphs, statistical analyses.
Use scatterplots, line graphs, bar graphs, etc., based on data type.
Evaluate patterns, relationships, and identify sources of error during analysis.
Reporting Findings
Conclusions should reflect data collected, supporting or refuting the hypothesis with strong evidential backing.
A scientific report should include standard sections: Title, Abstract, Introduction, Methodology, Results, Discussion, Conclusion, References.
Limitations of Investigations
Consider limitations in methodology that could affect data: access to precise tools, control of variables, and conditions.
Limitations may also extend to the models and theories used to interpret findings.