1 / 26

Environmental Science

Environmental Science. Chapter 2 – Review of Methods of Science. I. Scientific Methods. A. “Science” comes from the Latin verb scire meaning to know B. Science is not just something you know but it also something you do. c. Experimental Method. i . Observing

amina
Download Presentation

Environmental Science

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. Environmental Science Chapter 2 – Review of Methods of Science

  2. I. Scientific Methods • A. “Science” comes from the Latin verb scire meaning to know • B. Science is not just something you know but it also something you do

  3. c. Experimental Method • i. Observing • 1. An observation is a piece of information we gather using our senses • 2. Use tools to extend the senses (ex. Rulers, microscopes, satellites, etc.) • 3. Can be descriptions, photographs, measurements, etc.

  4. ii. Hypothesizing and Predicting • 1. To answer specific questions, scientists may form a hypothesis • 2. Hypothesis = testable explanation for an observation; an educated guess • 3. After forming a hypothesis, you can make a prediction = a logical statement about what will happen if the hypothesis is correct

  5. iii. Experimenting • 1. Questions that arise from observations often cannot be answered by making more observations • 2. Experiment = a procedure designed to test a hypothesis under controlled conditions • 3. Should be designed to pinpoint cause and effect relationships

  6. 4. Good experiments have 2 essential characteristics • A. Variable = factor of interest • B. Experimental and control groups • i. Experimental group = group that receives the experimental treatment • Ii. Control group = group that does not receive the experimental treatment

  7. iv. Organizing and Analyzing Data • 1. Data = information that a scientist gathers during an experiment, often in numerical form • 2. Organizing data into tables and graphs helps scientists analyze data and clearly explain it to others

  8. Drawing Conclusions • 1. Decide whether results agree or disagree with hypothesis and predictions

  9. vi. Repeating Experiments • 1. Scientists should repeat experiments in order to provide supporting evidence for conclusions • vii. Communicating Results • 1. Publish results

  10. II. The Correlation Method • A. When using experiments to answer questions but it may be impossible or unethical, scientists test predictions by examining correlations • i. Correlation = reliable associations between 2 or more events • B. Are useful but do not necessarily prove cause and effect between variables

  11. The Correlation Method

  12. III. Scientific Habits of Mind • A. Curiosity • B. Habit of skepticism • C. Openness to new ideas • D. Intellectual honesty • E. Imagination and creativity

  13. IV. Statistics and Models • A. How scientists use statistics • i. Statistics = collection and classification of data that are in the form of numbers

  14. b. Statistics work with populations • i. A statistical population = a group of similar things that a scientist is interested in learning about • Ii. What is the average? • 1. Mean = number obtained by adding up the data for a given characteristic and dividing the sum by the number of individuals • 2. Scientists can easily compare different populations by comparing their means

  15. iii. The Distribution • 1. Relative arrangement of the numbers of a statistical population • 2. Normal distribution = bell shaped curve; data are grouped symmetrically around the mean

  16. iv. What is the probability? • 1. Probability = the chance that something will happen • 2. Depends on sample size • 3. Sample = group of individuals or events selected to represent the population

  17. c. Statistics in Everyday Life • i. Understanding the news • Ii. Thinking about risk • 1. Risk = probability of an unwanted outcome

  18. Risk

  19. d. Models • i. Are representations of objects or systems • Ii. Physical models • 1. Are 3-D models • 2. Closely resemble the object or system they represent • 3. Ex. DNA

  20. iii. Graphical Models • 1. Ex. Maps and charts

  21. iv. Conceptual Models • 1. Is a verbal or graphical explanation for how a system works or is organized • 2. ex. Flow chart

  22. v. Mathematical models • 1. One or more equations that represents the way a system or process works • 2. Ex. weather

  23. V. Making Informed Decisions • A. Environmental – Decision Making Model = a conceptual model that provides a systematic process for making decisions • i. Values = principles or standards we consider important

  24. b. How to Use the Model • i. Gather information • Ii. Consider values • Iii. Explore consequences • 1. Positive/negative short term • 2. Positive/negative long term • Iv. Make a decision

  25. Should Valley County Set Aside a Nature Preserve?

More Related