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Introduction to Science and the Scientific Process

Study Guide - Smart Notes

Tailored notes based on your materials, expanded with key definitions, examples, and context.

What is Science

Definition and Purpose of Science

Science is a systematic approach to understanding the natural world through observation and reasoning. The word science is derived from the Latin verb scire, meaning "to know." Science aims to build knowledge by seeking natural explanations for natural phenomena.

  • Objective analysis: Science involves the objective analysis of occurrences to pursue truth.

  • Principles from observations: Scientific inquiry determines general principles based on repeated observations.

  • Natural causes: Science seeks natural causes for natural phenomena, avoiding supernatural explanations.

  • Repeatable observations: Scientific processes rely on observations that can be repeated and verified by others.

  • Testable hypotheses: Explanations in science must be testable through experimentation or further observation.

Example: The study of genetics uses repeatable experiments to determine how traits are inherited.

The Scientific Process

Steps in the Scientific Process

The scientific process is a logical sequence of steps used to investigate questions and test hypotheses about the natural world.

  • Observation: Gathering information about phenomena (e.g., noticing that many intelligent people have attached earlobes).

  • Quantification: Measuring or counting observations (e.g., reviewing published studies on earlobe attachment).

  • Hypothesis: Proposing a testable explanation (e.g., genes for attached earlobes may also confer intelligence).

  • Prediction: Making a specific, testable prediction based on the hypothesis (e.g., attached earlobes should be more common among students than in the general population).

  • Experiment/Test: Designing and conducting experiments to test the prediction (e.g., surveying students and comparing results to the general population).

  • Analysis: Using statistical tests to determine if results are significant.

  • Conclusion: Drawing conclusions about whether the hypothesis is supported or refuted.

Additional info: The process is iterative; hypotheses may be revised or rejected based on new evidence.

Types of Reasoning in Science

  • Inductive reasoning: Moving from specific observations to general concepts or laws.

  • Deductive reasoning: Using general concepts or theories to make specific predictions and test explanations.

Example: Inductive reasoning leads to the formulation of a law; deductive reasoning is used in hypothesis testing.

Controlled Experiments

Design and Variables

Controlled experiments are designed to determine causality by manipulating one variable while keeping others constant.

  • Independent variable: The factor manipulated by the experimenter.

  • Dependent variable: The factor measured by the experimenter.

  • Extraneous variables: Other factors not of interest that could affect the outcome.

  • Experimental group: Subjects that receive the independent variable.

  • Control group: Subjects that do not receive the independent variable, serving as a baseline for comparison.

Example: Testing a new drug, the experimental group receives the drug, while the control group receives a placebo.

Evaluating Science: Good vs. Bad Science

Criteria for Good Science

  • Multiple sources: Findings are supported by several independent studies.

  • Peer review: Research is published in reputable, peer-reviewed journals.

  • Controlled experiments: Use of proper controls to establish causality.

  • Logical consistency: Conclusions follow logically from the data.

  • Transparency: Data, methods, and statistics are clearly presented and referenced.

Indicators of Bad Science

  • Single or unreliable sources: Findings based on one study or non-peer-reviewed sources.

  • Vested interests: Research funded by parties with a financial stake in the outcome.

  • Lack of controls: No use of control groups or proper experimental design.

  • Correlation vs. causation: Mistaking correlation for causation without proper evidence.

  • Dismissal of other work: Ignoring or dismissing previous research without justification.

Example: A company claims its herbal product reduces colds by 80% without peer-reviewed evidence or proper controls—this is likely bad science.

Key Terms and Concepts

  • Scientia: Latin for "knowledge."

  • Objective: Unbiased and based on observable phenomena.

  • Testable: Capable of being tested through experiments or observations.

  • Principles: Fundamental truths or laws derived from observations.

  • Law vs. Theory: A law describes a universal relationship (often mathematical), while a theory is a well-supported explanation of phenomena.

  • Peer-reviewed journal: A publication in which articles are evaluated by experts before publication.

  • Correlation: A relationship between two variables.

  • Causation: One variable directly affects another.

Practice Questions

  • What does scientia mean?

  • Which term is least associated with science? (a) deductive (b) objective (c) theoretical (d) pre

  • What is the difference between a law and a theory?

  • Is a study with inadequate sample size good or bad science? Why?

  • Is it better to publish directly on the internet or in a peer-reviewed journal? Why?

Summary

  • Science is objective, testable, and based on natural principles.

  • Inductive reasoning leads to laws; deductive reasoning is used for hypotheses, experiments, and theories.

  • Understanding variables and controls is essential for experimental design.

  • Good science is peer-reviewed, unbiased, and based on sound methodology.

  • Correlation does not imply causation.

Additional info: For further study, review chapters on the origin of life, characteristics of life, molecules of life, and human evolution.

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