UNIT 11 - Measruement And Data Processng And Analysis Flashcards

1
Q

Give reason for the use of a log scale on graphs.

A

Allows some relationships to be rearranged into a form of a straight line.

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

State why is propagation of uncertainties important.

A

Uncertainties in raw data lead to uncertainties in processed data and must be propagated throughout the experiment in a consistent manner.

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

How to calculate absolute uncertainty in ab or a/b?

A
  1. find the percentage uncertainty in a and b.
  2. add them to find the %uncertainty in the value.
  3. convert to an absolute value.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Distinguish the characteristics and causes of random and systematic error and give examples.

A

Random:
can be reduced through repeated measurements

caused by:
- the readability of the measuring instrument
- the effects of changes in the surroundings (e.g. temp).
- insufficient data
- misinterpretation by the observer

Systematic:
cannot be reduced by repeating the experiments.

caused by:
- poor experimental design/produce
- lack of necessary knowledge

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

State how to calculate sum of the absolute uncertainties when adding, subtracting, multiplying od dividing measurements.

A

The uncertainty is calculated as a sum of the absolute uncertainties.

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

What should a graph contain?

A
  • title
  • axes labelled with both quantities and units
  • space used as effectively as possible
  • sensible linear scales - no uneven jumps
  • all points plotted correctly
  • line of best fit
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

How to calculate uncertainty in analogue and digital instruments?

A

analogue:
some state the degree but if they do not it is half of the smallest division.

digital:
the smallest scale division.

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

State the formula for percentage uncertainty.

A

percentage uncertainty = (absolute uncertainty/measured value)x100%

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

Distinguish accuracy and precision.

A

precision- how close the results are to each other, the smaller the random uncertainties.

accuracy - comparing what you obtained to what you should get, the smaller the systematic error.

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

To how many SF the answer should always be when adding, subtracting, dividing or multiplying?

A

To the least precise data.

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

Distinguish the terms repeatable and reproductible.

A

repeatable - the same person duplicates the experiment with the same results.

reproductible- several experiments duplicate the results.

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

Define the terms extrapolation and interpolation.

A

extrapolation - extending a best-fit line beyond the range of measurements of the graph.

interpolation - assuming that the trend line applies between two points.

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

State the formula for and define the percentage error.

A

Is a measure of how close the experimental value is to the literature/accepted on.

PE= (|accepted value-experimental value|/accepted value)x100%

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

List and define the analytical techniques.

A
  • qualitative analysis - the detection of presence but not the quality of a substance in a mixture.
  • quantitative analysis- measurement of the quantity of a particular substance in a mixture.
  • structural analysis- description of how the atoms are arranged in molecular structures.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is parallax error?

A

Reading the burette from an incorrect angle.

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