Calculate Percentage Error Of Burette
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error'). Experimental uncertainty arises because of: Limits in the how exact the measuring apparatus is. This is the precision of the apparatus. Imperfections in experimental procedures. Judgements made by the operator. When can my results
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be said to be precise? If you repeat a measurement several times and obtain values write the equation that is used to calculate percentage error that are close together, your results are said to be precise. If the same person obtains these close values, then the experimental procedure calculate the percentage error for your experimental value is repeatable. If a number of different people carry out the same measuring procedure and the values are close the procedure is reproducible. What is a systematic error? A systematic error is one that is repeated in http://www.thestudentroom.co.uk/showthread.php?t=193935 each measurement taken. If this is realised after the experimental work is done, it can be taken into account in any calculations. What are random errors? Even the most careful and experienced operator cannot avoid random errors. However, their effect can be reduced by carrying out a measurement many times (if the opportunity exists) and working out an average value. Let's look in more detail at 'built-in' uncertainty of some laboratory equipment... Some measurement uncertainties are http://www.avogadro.co.uk/miscellany/errors.htm given below: EquipmentMeasurement to the nearest: Balance (1 decimal place)0.08 g Balance (2 decimal place)0.008 g Balance (3 decimal place)0.0008 g Measuring Cylinder (25 cm3)0.5 cm3 Graduated Pipette (25 cm3, Grade B)0.04 cm3 Burette (50 cm3, Grade B)0.08 cm3 Volumetric Flask (250 cm3, Grade B)0.2 cm3 Stopwatch (digital)0.01 s Calculating the percentage uncertainty (often called percentage error) ... Now try calculating the following percentage uncertainties... 1.00 g on a 2 decimal place balance 10.00 g on a 2 decimal place balance 1.00 g on a 3 decimal place balance 10 cm3 in a 25 cm3 measuring cylinder 25 cm3 in a 25 cm3 measuring cylinder 25 cm3 in a 25 cm3 graduated pipette (Grade B) 25 cm3 in a 50 cm3 burette (Grade B) 250 cm3 in a 250 cm3 volumetric flask (Grade B) 50 s on a digital stopwatch 8% 0.8% 0.08% 5% 2% 0.16% 0.32% 0.08% 0.02% Comparing uncertainties like those calculated above 'might' help you to decide which stage in an experimental procedure is likely to contribute most to the overall experimental uncertainty. How about thermometers...? Spirit filled thermometers are regularly used in college laboratories. They are often more precise than accurate. It is quite easy to read a thermometer to the nearest 0.2 °C. However, the overall calibration can be out by a degree or more. For example, for a thermometer
Treatments MSDS Resources Applets General FAQ Uncertainty ChemLab Home Computing Uncertainties in Laboratory Data and Result This section considers the error and uncertainty in experimental measurements and calculated results. First, here are some fundamental things you should realize about uncertainty: • Every measurement has an uncertainty associated https://www.dartmouth.edu/~chemlab/info/resources/uncertain.html with it, unless it is an exact, counted integer, such as the number of trials performed. • Every calculated result also has an uncertainty, related to the uncertainty in the measured data used to calculate it. This uncertainty should be reported either as an explicit ± value or as an implicit uncertainty, by using the appropriate number of significant figures. • The numerical value of a "plus or minus" (±) uncertainty value tells you the range of percentage error the result. For example a result reported as 1.23 ± 0.05 means that the experimenter has some degree of confidence that the true value falls in between 1.18 and 1.28. • When significant figures are used as an implicit way of indicating uncertainty, the last digit is considered uncertain. For example, a result reported as 1.23 implies a minimum uncertainty of ±0.01 and a range of 1.22 to 1.24. • For the purposes of General Chemistry lab, calculate percentage error uncertainty values should only have one significant figure. It generally doesn't make sense to state an uncertainty any more precisely. To consider error and uncertainty in more detail, we begin with definitions of accuracy and precision. Then we will consider the types of errors possible in raw data, estimating the precision of raw data, and three different methods to determine the uncertainty in calculated results. Accuracy and Precision The accuracy of a set of observations is the difference between the average of the measured values and the true value of the observed quantity. The precision of a set of measurements is a measure of the range of values found, that is, of the reproducibility of the measurements. The relationship of accuracy and precision may be illustrated by the familiar example of firing a rifle at a target where the black dots below represent hits on the target: You can see that good precision does not necessarily imply good accuracy. However, if an instrument is well calibrated, the precision or reproducibility of the result is a good measure of its accuracy. Types of Error The error of an observation is the difference between the observation and the actual or true value of the quantity observed. Returning to our target analogy, error is how far away a given shot is from the bull's eye. Since the true value, or bull's e