1.4.1 Scientific investigation in biology (Q&A)

Short Answer Questions

  1. What is the first step in the scientific method?
    Identifying a problem.
  2. What is a hypothesis?
    A hypothesis is a testable statement or prediction based on prior observations.
  3. What are manipulated variables?
    Manipulated variables are variables that are intentionally changed during an experiment.
  4. What are responding variables?
    Responding variables are variables that are measured or observed in response to the manipulated variable.
  5. Why are controlled variables important in an experiment?
    They minimize bias and ensure that changes in the responding variable are due to the manipulated variable.
  6. What should be included in a detailed experimental procedure?
    Materials needed, steps to follow, and methods to control variables.
  7. Why is it important to repeat experiments?
    To ensure the reliability of the data.
  8. What is data analysis?
    It involves organizing and interpreting collected data to identify patterns, relationships, and trends.
  9. What is the purpose of drawing a conclusion in scientific research?
    To determine whether the hypothesis is supported or not.
  10. What is included in a scientific report?
    Introduction, materials and methods, results, data analysis, conclusion, and references.
  11. What is the manipulated variable in the example investigation on the effect of exercise on heart rate?
    The intensity of exercise.
  12. What is the responding variable in the example investigation on heart rate?
    Heart rate (measured in beats per minute).
  13. Why is it necessary to keep controlled variables constant?
    To ensure that the experiment’s results are due to the manipulated variable only.
  14. What are examples of controlled variables in the heart rate experiment?
    Duration of exercise, individual’s age, sex, and health conditions.
  15. What is the purpose of forming a hypothesis?
    To provide a specific direction for the experiment and be tested with data.
  16. How can data be presented for easier interpretation?
    Using tables, graphs, or statistical analysis.
  17. What should a good hypothesis include?
    The manipulated variable, responding variable, and a prediction of how the responding variable may change.
  18. What does “testable” mean in the context of a hypothesis?
    It means that the hypothesis can be verified or falsified through experiments.
  19. What is an example of a problem statement for a scientific investigation?
    “Does the amount of light affect the rate of photosynthesis in plants?”
  20. Why is planning an experiment crucial?
    It ensures the collection of accurate and reliable data to answer the research question.

Explanation Questions

  1. Why is identifying variables essential in a scientific investigation?
    It helps design effective experiments and interpret data properly.
  2. How does a controlled variable help in scientific research?
    It minimizes bias and ensures changes in the responding variable are due to the manipulated variable.
  3. What makes a hypothesis testable and falsifiable?
    It must be possible to verify or disprove it through experimentation and observation.
  4. Why should experiments be repeated multiple times?
    To increase the reliability and accuracy of the data.
  5. How can data analysis help in drawing conclusions?
    It helps identify patterns, relationships, and trends in the data that support or refute the hypothesis.
  6. What should be considered when planning an experiment?
    Materials, steps to follow, and methods to control variables and minimize errors.
  7. How does writing a scientific report help researchers?
    It communicates findings, facilitates peer review, and allows others to build on the research.
  8. What is the significance of having a clear problem statement?
    It focuses the research and guides the investigation process.
  9. How do manipulated and responding variables work together in an experiment?
    The manipulated variable causes changes in the responding variable, which is then measured or observed.
  10. Why is it important to interpret data objectively?
    To ensure conclusions are based on evidence, not personal bias or expectations.