1 / 8

Enhancing Experimental Accuracy in Scientific Method Through Precision Graphing

Learn the difference between precision and accuracy in scientific measurements, the importance of repeatability, and how to graph data accurately. Understand the roles of qualitative and quantitative data, the scientific method, and how to improve experimental precision and correctness. Master techniques for determining scale in graphs and interpreting qualitative and quantitative observations effectively.

lana-kane
Download Presentation

Enhancing Experimental Accuracy in Scientific Method Through Precision Graphing

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. Key Science Terms Precision, Accuracy, Quantitative, Qualitative, Scientific Method, Graphing

  2. Precision VS. Accuracy Precision Accuracy • Repeatability • Check by repeating measurements • Poor precision comes from poor technique • Correctness • Check by using a different method (like in math when you plug your answer back in to see if it’s right) • Poor accuracy results from bad procedure or faulty equipment

  3. Scientific Method Independent variable/manipulated variable – one intentionally changed or manipulated by the experimenter (Remember…I am the man and I changed this..) Dependent variable/responding variable – one that is observed, recorded, measured, by the experimenter

  4. Scientific Method Cont. Observation Conclusion • Information that is obtained using your senses or your senses and an instrument • Statements like: the sky is blue, the ball is round, the wind is blowing, etc. • A judgment that is made based on prior observations • The sky is dark, the wind is blowing, there are big black clouds in the sky…. So it is going to rain. • The beginning information were all observations about the conditions I saw but I concluded that it was going to rain.

  5. Graphing How to determine scale • Remember that the first data column are the “X” coordinates and the second data column are the “Y” coordinates • Within the data column subtract the lowest data value from the highest data value • The divide that answer by the number of lines that are present on the axis • That answer represents the scale factor for the axis • The origin will not always be zero – it will be the lowest data value in the column

  6. Here’s an example: • Highest value for Y is 17.5 and lowest value for Y is 14.5 - subtract to get 3 • Lets say that your graph paper has 10 lines on the Y axis – divide 3 by 10 to determine the scale which is 0.3 • So that means that your origin on the Y axis will be 14.5 and each line will increase by a value of 0.3 • So the numbers going up the Y axis will be … 14.5 , 14.8, 15.1, etc. • You do the same for both axes

  7. Types of data Qualitative Quantitative • Purely descriptive in nature • Use the senses to make observations • Color, taste, texture, • MUST have a number • Use some type of instrument or direct counting to make observations • 25 cm, 3.5 miles, 0.002 g

More Related