1 / 22

Biology

Biology 1-1 What Is Science? What Science Is and Is Not What Science Is and Is Not What is the goal of science? What Science Is and Is Not The goal of science is to: investigate and understand the natural world. explain events in the natural world.

libitha
Télécharger la présentation

Biology

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Biology Copyright Pearson Prentice Hall

  2. 1-1 What Is Science? Copyright Pearson Prentice Hall

  3. What Science Is and Is Not • What Science Is and Is Not • What is the goal of science? Copyright Pearson Prentice Hall

  4. What Science Is and Is Not • The goal of science is to: • investigate and understand the natural world. • explain events in the natural world. • use those explanations to make useful predictions. Copyright Pearson Prentice Hall

  5. What Science Is and Is Not • Science is an organized way of using evidence to learn about the natural world. • The word science also refers to the body of knowledge that scientists have built up after years of using this process. Copyright Pearson Prentice Hall

  6. Thinking Like a Scientist • Thinking Like a Scientist • Scientific thinking begins with observation. • Observation is the process of gathering information about events or processes in a careful, orderly way. Copyright Pearson Prentice Hall

  7. Thinking Like a Scientist • The information gathered from observations is called data. • Quantitative data are expressed as numbers, obtained by counting or measuring. • Qualitative data are descriptive and involve characteristics that can’t easily be measured. Copyright Pearson Prentice Hall

  8. Thinking Like a Scientist • Scientists use data to make inferences. • An inference is a logical interpretation based on prior knowledge or experience. Copyright Pearson Prentice Hall

  9. Explaining and Interpreting Evidence • Explaining and Interpreting Evidence • A hypothesis is a proposed scientific explanation for a set of observations. • A hypothesis may be ruled out or confirmed. Copyright Pearson Prentice Hall

  10. Explaining and Interpreting Evidence • A hypothesis must be proposed in a way that can be tested. • Hypotheses are tested by performing controlled experiments or by gathering new data. Copyright Pearson Prentice Hall

  11. Explaining and Interpreting Evidence • Researchers often work in teams to analyze, review, and critique each other’s data and hypotheses. • A review process helps ensure conclusions are valid. • To be valid, a conclusion must be based on logical interpretation of reliable data. Copyright Pearson Prentice Hall

  12. Science as a Way of Knowing • Science as a Way of Knowing • Science is an ongoing process that involves: • asking questions • observing • making inferences • testing hypotheses Copyright Pearson Prentice Hall

  13. Science as a Way of Knowing • Scientific understanding is always changing. • Good scientists are skeptics who question both existing ideas and new hypotheses. Copyright Pearson Prentice Hall

  14. Science and Human Values • Science and Human Values • An understanding of science and the scientific approach is essential to making intelligent decisions. • Scientists make recommendations based on data collected through research. Copyright Pearson Prentice Hall

  15. Science and Human Values • Decisions involve many factors besides scientific information, including: • the society in which we live • economic considerations • laws • moral principles • Citizens decide what to do when they vote. Copyright Pearson Prentice Hall

  16. 1–1 Copyright Pearson Prentice Hall

  17. 1–1 • Observations involving numbers are known as • qualitative observations. • hypothetical observations. • quantitative observations. • inferred observations. Copyright Pearson Prentice Hall

  18. 1–1 • Which of the following shows the interaction of science and human values? • the debate over the best way to produce electricity • investigating how a manatee behaves • Determining what causes a disease • using a hypothesis to test an explanation Copyright Pearson Prentice Hall

  19. 1–1 • A scientist takes paint chips from 10 apartments in a large building. She tests for the presence of lead in the paint and finds it in all 10 samples. She then concludes that lead paint is probably present in all 120 apartments in the building. This conclusion is an example of • a scientific fact. • a scientific error. • proof. • a reasonable inference. Copyright Pearson Prentice Hall

  20. 1–1 • A possible explanation for a set of observations is known as • data. • a hypothesis. • an inference. • a result. Copyright Pearson Prentice Hall

  21. 1–1 • A good scientific hypothesis must be • correct. • able to be tested. • obvious. • based on common sense. Copyright Pearson Prentice Hall

  22. END OF SECTION

More Related