Data and Uncertainties Flashcards
Readings
The values found from a single judgment when using a piece of equipment
Measurements
The values taken as the difference between the judgments of two values
Assessing uncertainty
Resolution of the instrument used
Manufacturer’s tolerance on instruments
Judgements that are made by the experimenter
The procedures adopted (e.g. Repeated readings)
Size of increments available
Uncertainty in a reading
At least plus or minus half of the smallest division
Uncertainty of a measurement
At least plus or minus one of the smallest divisions
Uncertainties in given values
E.g. Charge of an electron is given as 1.60x10^-19
Uncertainty is + or - 0.01x10^-19
Assume he uncertainty to be plus or minus 1 in the last significant digit
Repeated measurements
A method for reducing the uncertainty
Uncertainty in this case = half the range
Uncertainties from gradients
Percentage uncertainty = (best gradient - worst gradient) X 100 /best gradient
Error bars in physics
Plot data points at their
mean value
Calculate the range of data ignoring any anomalies
Add error bars with lengths equal to half the range
Variable and graph axis
X axis - independent variable (the variable that caused the observed effect) it isn’t affected by the other variable
Y axis - dependent variable (the variable that was effected by the independent variable)
Scientific ideas
The scientific community only accepts new ideas when they can be independently validated
This means others are able to reach the same conclusion
Uncertainties in using immersion heater experiment to calculate specific heat capacity
Temperature varies throughout - stir
Some of the input energy is use to raise the temperature of the heater and the container
Temperature will continue to rise after the heater has been turned off - find max temperature
Uncertainties in ammeter, voltmeter and thermometer
Combining uncertainties
If you are adding or subracting values you add the absolute uncertainties
If you are dividing or multiplying then you add the percentage uncertainties
If you are raising a number to a power then you multiply the percentage uncertainties by that power
Advantages of using data loggers
More accurate data
Higher sampling rate
Data can be displayed in real time
Random errors
These cause readings to be spread about the true value, due to results varying in an unpredictable way from one measurement to the next.
Random errors are present when any measurement is made, and cannot be corrected. The effect of random errors can be reduced by making more measurements and calculating a new mean.
Systematic errors
These cause readings to differ from the true value by a consistent amount each time a measurement is made.
Sources of systematic error can include the environment, methods of observation or instruments used.
Systematic errors cannot be dealt with by simple repeats. If a systematic error is suspected, the data collection should be repeated using a different technique or a different set of equipment, and the results compared.