MEASUREMENTS AND THEIR ERRORS Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

SI UNIT MASS

A

kg

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

SI UNIT LENGTH

A

m

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

SI UNIT TIME

A

s

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

SI UNIT TEMPERATURE

A

K

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

SI UNIT AMOUNT OF SUBSTANCE

A

mol

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

SI UNIT ELECTRICAL CURRENT

A

A

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Tera T

A

10^12

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Giga G

A

10^9

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Mega M

A

10^6

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Kilo k

A

10^3

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Centi c

A

10^-2

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Milli m

A

10^-3

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Micro µ

A

10^-6

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Nano n

A

10^-9

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Pico p

A

10^-12

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Femto f

A

10^-15

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

1eV in J

A

1.6x10^-19J

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Precision

A

Precise measurements are consistent, they fluctuate slightly about a mean value - this doesn’t indicate the value is accurate.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Repeatability

A

If the original experimenter can redo the experiment with the same equipment and method then get the same results it is repeatable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Reproducability

A

If the experiment is redone by a different person or with different techniques and equipment and the same results are found, it is reproducible.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Resolution

A

The smallest change in the quantity being measured that gives a recognisable change in reading.

22
Q

Accuracy

A

A measurement close to the true value is accurate.

23
Q

Random Errors

A

Random errors affect PRECISION, meaning they cause differences in measurements which causes a spread about the mean. You cannot get rid of all random errors.
An example of random error is electronic noise in the circuit of an electrical instrument.

24
Q

Reducing Random Errors

A

Take at least 3 repeats and calculate a mean, this method also allows anomalies to be identified.

Use computers/data loggers/cameras to reduce human error and enable smaller intervals.

Use appropriate equipment, e.g a micrometer has higher resolution (0.1 mm) than a ruler (1 mm).

25
Q

Systematic Errors

A

Systematic errors affect ACCURACY and occur due to the apparatus or faults in the experimental method. Systematic errors cause all results to be too high or too low by the same amount each time.
An example is a balance that isn’t zeroed correctly (zero error) or reading a scale at a different
angle (this is a parallax error).

26
Q

Reducing Random Errors

A

● Calibrate apparatus by measuring a known value (e.g. weigh 1 kg on a mass balance), if the reading is inaccurate then the systematic error is easily identified.
● In radiation experiments correct for background radiation by measuring it beforehand and excluding it from final results.
● Read the meniscus (the central curve on the surface of a liquid) at eye level (to reduce parallax error) and use controls in experiments.

27
Q

Parallax Error

A

A systematic error, reading a scale at a different
angle. Read the meniscus (the central curve on the surface of a liquid) at eye level.

28
Q

Zero Error

A

A systematic error, a balance that isn’t zeroed correctly.

29
Q

Uncertainty

A

The uncertainty of a measurement is the bounds in which the accurate value can be expected to lie e.g. 20°C ± 2°C , the true value could be within 18-22°C

30
Q

Absolute Uncertainty

A

uncertainty given as a fixed quantity e.g. 7 +/- 0.6 V

31
Q

Fractional Uncertainty

A

uncertainty as a fraction of the measurement e.g. 7 V +/- 3/35

32
Q

Percentage Uncertainty

A

uncertainty as a percentage of the measurement e.g. 7 +/- 8.6%V

33
Q

Reducing percentage and fractional uncertainty

A

you can measure larger quantities

34
Q

Readings

A

Readings are when one value is found e.g. reading a thermometer

35
Q

Measurements

A

measurements are when the difference between 2 readings is found, e.g. a ruler (as both the starting point and end point are judged).

36
Q

Uncertainty in a Reading

A

The uncertainty in a reading is ± half the smallest division,
e.g. for a thermometer the smallest division is 1°C so the uncertainty is ±0.5°C

37
Q

Uncertainty in a Measurement

A

The uncertainty in a measurement is at least ±1 smallest division: e.g. a ruler, must include both the uncertainty for the start and end value, as each end has ±0.5mm, they are added so the uncertainty in the measurement is ±1mm.

38
Q

Uncertainty in Digital Readings

A

Digital readings and given values will either have the uncertainty quoted or assumed to be ± the
last significant digit e.g. 3.2 ± 0.1 V, the resolution of an instrument affects its uncertainty.

39
Q

Uncertainty in Repeated Data

A

For repeated data the uncertainty is half the range (largest - smallest value), show as: mean ± (range/2)

40
Q

Reducing Uncertainty

A

By fixing one end of a ruler as only the uncertainty in one reading is included.

By measuring multiple instances:
e.g. to find the time for 1 swing of a pendulum by measuring the time for 10 giving e.g. 6.2 ± 0.1 s, time for 1 swing is 0.62 ± 0.01s (the uncertainty is also divided by 10).

41
Q

Sig.fig in uncertainties

A

Uncertainties should be given to the same number of significant figures as the data.

42
Q

UNCERTAINTIES: Adding/Subtracting data

A

ADD ABSOLUTE UNCERTAINTIES
A thermometer with an uncertainty of 0.5 K shows the temperature of water falling from 298-0.5 K to 273-0.5K, what is the difference in temperature?
298-273 = 25K 0.5 + 0.5 = 1K (add absolute uncertainties) difference = 25 1 K

42
Q

UNCERTAINTIES: Multiplying / dividing data

A

ADD PERCENTAGE UNCERTAINTIES
E.g. a force of 91 3 N is applied to a mass of 7 +/- 0.2 kg, what is the acceleration of the mass?
F=ma A=f/m
91/7=13ms^-2 (3/91x100)+(0.2/7x100)=6.2%
13x0.062=0.8
13+/-0.8ms^-2

43
Q

UNCERTAINTIES: Raising to a power

A

MULTIPLY PERCENTAGE UNCERTAINTY BY POWER
The radius of a circle is 5 +/- 0.3 cm, what is the percentage uncertainty in the area of the circle?
Area = π x 25 = 78.5 cm2
Area = πr
%uncertain in radius=0.3/5x100=6%
%in area (r^2)= 6*2=12%
78.5+/-12%cm^2

44
Q

Percentage Uncertainty

A

(uncertainty/value)x100

45
Q

Uncertainties on Graphs

A

Uncertainties are shown as error bars on graphs,
e.g. if the uncertainty is 5mm then have 5 squares of error bar on either side of the point. A line of best fit on a graph should go through all error bars (excluding anomalous points).

46
Q

Uncertainty in a Gradient

A

The uncertainty in a gradient can be found by lines of best and worst fit, this is especially useful when the gradient represents a value such as the acceleration due to gravity:
● Draw a steepest and shallowest line of worst fit, it must go through all the error bars.
● Calculate the gradient of the line of best and worst fit, the uncertainty is the difference between the best and worst gradients.

47
Q

Percentage Uncertainties on Graphs Equation

A

(best gradient-worst gradient)/best gradient x 100
(best y intercept - worst y interecpt)/best y intercept x100

48
Q

Orders of Magnitude

A

Orders of magnitude - Powers of ten which describe the size of an object, and which can also be
used to compare the sizes of objects.
E.g: The diameter of nuclei have an order of magnitude of around 10^−14
100 m is two orders of magnitude greater than 1m.

49
Q

How is Estmation Used

A

Estimation is a skill physicists must use in order to approximate the values of physical quantities, in order to make comparisons, or to check if a value they’ve calculated is reasonable.