1 / 22

Understanding the Scientific Method: Steps, Hypotheses, and Data Analysis

The scientific method is a systematic approach to problem-solving that encompasses several essential steps. It starts with observation and problem formulation, leading to the development of a testable hypothesis. Experiments are conducted, focusing on controlled conditions and variables, followed by data analysis to gain insights. The conclusion assesses if the results support the hypothesis. Good design features enhance experimentation, and different types of data visualization, like graphs, facilitate interpretation. Ultimately, this method is foundational in scientific inquiry and discovery.

wylie-rice
Télécharger la présentation

Understanding the Scientific Method: Steps, Hypotheses, and Data Analysis

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. Scientific Method

  2. There is no single scientific method, but most contain these basic steps:

  3. 1. Observation: recognizing and noting a fact or occurrence

  4. 2. State a problem in a Question Format

  5. 3. Hypothesis: an explanation for a question or a problem that can be formally tested.

  6. 4. Experiment: tentative procedure or policy

  7. 5. Analyze & Interpret Data: to explain or tell the meaning of - present in understandable terms

  8. 6. Conclusion: a final summation

  9. I. Observations must be accurate, free of bias, & recorded.

  10. 2 Types • Qualitative: non-numerical observations B. Quantitative: numerical observations

  11. II. A hypothesis is: a testable explanation for a question or problem and is based on logic, observations, andresearch

  12. III. Experimentation A. Controlled- an experiment in which all variables are the same except the one being tested B. Independent variable: the variable being tested; in a controlled experiment, only this changes

  13. Quiz Numerical Data is • Qualitative • Quantitative

  14. C. Dependent variable: any change that results from manipulation of the independent variable D. Experimental Group: the group in which the independent variable is changed

  15. E. Control Group: the group in which all the variables remain the same, including the independent variable

  16. IV. Good design features: - well planned, detailed - only 1 variable /Constants - collect data at regular intervals - large sample size - use metrics for quantitative data - repeatable

  17. V. Interpreting & Analyzing Data A. Graphs: 1. Line graph: data for the independent variable is placed on the horizontal, or x-axis, and data for the dependent variable are plotted on the vertical, or y-axis.

  18. 2. Bar graph: Use bars instead of data points to plot the data and are a good way to show comparisons among groups when data are not dependent on one another. 3. Pie graph: show which percentage, out of 100, a specific piece of information represents

  19. VI. Conclusion describes if the data collected supports the hypothesis

  20. VII. Scientific Theory time- tested major hypothesis that explains an aspect of nature

  21. VIII. Scientific Law a principle that describes an aspect of nature

  22. IX. Inference logical interpretation based on prior knowledge and experience

More Related