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Calibration, Temperature & Percent Error. What is Calibration?. Calibration of any measuring device is: distance between two closest lines ( N ot distance between two closest # ’ s!). Not all graduated cylinders calibrated same way. Large graduated cylinder: ? capacity ? calibration.
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What is Calibration? Calibration of any measuring device is: distance between two closest lines (Not distance between two closest #’s!)
Large graduated cylinder: ? capacity ? calibration 1000 ml 10 ml
? calibration 1 ml
? calibration 1 ml
? calibration 0.2 ml
Here are some other pieces of lab equipment. Can you figure the calibration of each?
meter stick: two closest lines are 1 millimeter apart
25 ml ? calibration
What’s the calibration? 0.01 gram
This is a buret ? calibration 0.1 ml Note: unlike graduated cylinder, numbers go down, so you read downwards
Temperature Scales
Scientifically speaking … The definition of temperature: Temperature ismeasure ofaveragekinetic energy of particles in system
World’s Record Cold Temperatures Date ˚F ˚C World (Antarctica): Vostok II 7/21/1983 –129 –89 Verkhoyansk, Russia (Siberia) 2/7/1892 –94 –70 Asia: Oimekon, Russia 2/6/1933 –90 –68 Greenland: Northice 1/9/1954 –87 –66 No A: Snag, Yukon, Canada 2/3/1947 –81 –63 US: Prospect Creek, Alaska 1/23/1971 –80 –62 US: (other than AK) Rogers Pass, Mont. 1/20/1954 –70 –56.5
Conversion formulas How can we convert from one temperature scale to another? K = °C + 273 (more precisely 273.15) °C = K – 273 [F = (9/5 °C) + 32]
Percent Error Ratio of error to accepted value % error = Error x 100% acceptedvalue
accepted value absolute value: always positive Error measured value – accepted value x100%
Student A (g/cm3) Student B (g/cm3) Student C (g/cm3) Trial 1 1.54 1.40 1.70 Trial 2 1.60 1.68 1.69 Trial 3 1.57 1.45 1.71 Data table Students asked to find density of sucrose [Sucrose has density of 1.59 g/cm3]
Student A (g/cm3) Student B (g/cm3) Student C (g/cm3) Trial 1 0.05 0.19 0.11 Trial 2 0.01 0.09 0.10 Trial 3 0.02 0.14 0.12 Remember, error is always positive number Let’s calculate the error
Student A % error Student B error Student C error Trial 1 3.14 11.9 6.9 Trial 2 0.63 5.7 6.3 Trial 3 1.26 8.8 7.5 Now let’s calculate % error
Advantage of % Error • easier to compare data, especially if comparing data from different trials