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SCIENTIFIC MEASUREMENT

Science 10 ACSC Data Recording Skills. SCIENTIFIC MEASUREMENT. On Target with ACCURACY and Reliability. CONCEPT MAP. CONCEPT MAP. Sustainable Development Overview. OVERVIEW: Data Recording Skills. A- ACCURACY AND RELIABILITY B- Recording Measured Numbers

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SCIENTIFIC MEASUREMENT

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  1. Science 10 ACSC Data Recording Skills SCIENTIFIC MEASUREMENT On Target with ACCURACY and Reliability

  2. CONCEPT MAP

  3. CONCEPT MAP Sustainable Development Overview

  4. OVERVIEW: Data Recording Skills • A- ACCURACY AND RELIABILITY • B- Recording Measured Numbers • C- Reading Measured Numbers • D- How Much Data is Enough • E- Experimenting ACSC Skill Outcomes: 214-5, 214-8, 214-10, 215-2

  5. A-Accuracy and Reliability • This animation may give the impression of 100% accuracy and 100% reliability However real data is not like that. • Real data always has experimental error. (uncertainty NOT mistake)

  6. B-Recording Measured Numbers“Significant Figures”Features & Benefits skip to end -> Features, “Significant Figures” include the following: • All accurately known digits are recorded • One digit with opinion is recorded, (estimate tenths in the smallest graduation) • Counted and defined numbers have infinite significance. Benefits • Accurately recorded digits give clues to the reliability and reproducibility of the data.

  7. C-Reading Measured Numbers“Significant Figures”Features & Benefits skip to end -> Features, “Significant Figures” examples: • All nonzero digits are significant • Counted and defined numbers have infinite significance. • Zeros, which ones are significant and which are just space holders? Benefits Accurately read digits preserve the validity and reproducibility of the data.

  8. D-Data Collection: How much data is enough? Skip to end-> • Test (Practice, until the trials are “fair tests.” (trials must be comparable and consistent) • Test (Experimental Bias: method/experimenter introduced trends) Practice the method until method biases or the lack of them become obvious. • Test (Trends) collect data until trends or lack of them become obvious.

  9. E- Experimenting skip to end-> • There are several practical things which can be done to control variables for a fair test. • Do all trials, to be compared, on the same day. • Manipulate or change only one variable. • Practice until you can collect reliable data that is, the tests are fair. • Use the same method being careful to do everything exactly the same to collect the data. • Scientific attitudes are important. They dictate accuracy clarity and soundness of scientific arguments.

  10. E-Data Graphing:What does the shape and graph distribution tell you? Skip to end-> • Plot the test data on the graph to see how well the actual trials fit in the corridor of success . • Look for trends or the lack of them suggested by the shape of the graph. • If you had to hit a target accurately are some angles better to shoot from? How is this indicated by the corridor of success? • In this case is more reliable likely to be more accurate? • Graphing for CLARITY

  11. Internet Availability • Science 10 ACSC development site http://scifair.ednet.ns.ca/science10 • Central Kings Science 10 <http://scifair.ednet.ns.ca/CKCLS/index~PHS.html> Review Buttons (Accuracy and Reliability) Recording Measured Numbers (Significant figures) Reading Measured numbers Data Collection (How much is enough?) Experimenting

  12. Prediction: Corridor of Success Back-> • The experimental max./min. air times were added to the spreadsheet. • Then the graph will update to show the expected minimum and maximum range of the projectile.

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