Model Answers - Working Scientifically Flashcards

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

State all unit conversions in a chart

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

Give the 5 base quantities and their units

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

Give 4 examples of derived units

A

Force (N), acceleration(ms^-2), momentum(kgms^-1), pressure(Pa)

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

Define accurate

A

How close a measured value is to the true value

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

Define precise

A

How close repeated measurements are to one another

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

Define resolution

A

The smallest measuring interval on a measuring instrument

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

Define valid

A

A measurement is valid if it measures what it is supposed to be measuring

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

Define repeatable

A

If measurements are repeated by the same person in the same laboratory with the same equipment the repeated results are close to each other

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

Define reproducible

A

If measurements are repeated by a different person or using different techniques and the results are close to each other

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

Define true value

A

The value that would have been obtained in an ideal measurement

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

Define uncertainty

A

The internal within which the true value can be considered to lie with a given level of confidence

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

Define error

A

The difference between the measurement result and the true value (NOT a mistake in the measurement)

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

Explain why a measurement of 2.40V is NOT more precise than a measurement of 2.4V

A

A. Precision is a measure of the closeness of repeated measurements
b. Both 2.40V and 2.4V are single measurements so we cannot comment on their ‘precision’
c. The result 2.40V has been measured using a higher resolution multimeter
d. So 2.40V has a lower absolute uncertainty (=resolution/2 = 0.005V) compare to 2.4V (absolute uncertainty = 0.1/2 = 0.05V).

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

Explain why doing repeat measurements increases the likelihood of an accurate measurement

A

Repeating measurements reduces the effect of random error

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

Describe how data with a systematic error would affect the appearance of a line of best fit on a graph

A

It would adjust the value of the y or x intercept as every data point has the same error

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

Describe how data with a random error would affect the appearance of a line of best fit on a graph

A

It would increase the spread of data around the line of best fit - both above and below the line

17
Q

Describe how to calculate absolute uncertainty in a single reading

A

Resolution / 2

18
Q

Describe how to calculate the absolute uncertainty in a set of repeated data

A

First exclude anomalies
Then calculate range
Absolute uncertainty = range/2

19
Q

State the formula for calculating % uncertainty

A

percentage uncertainty = (absolute uncertainty / mean value) x 100 – if we have repeats
b. percentage uncertainty = (absolute uncertainty / measurement) x 100 – if we have a single measurement

20
Q

Explain the experimental choices we should make to increase the likelihood of us getting an accurate result

A

We should aim to reduce the % uncertainty in the measurements
b. To do this we could choose equipment with a high resolution. This will have a low absolute uncertainty, resulting in a low % uncertainty
c. Or, where possible, we should increase the measurement we are taking. For the same absolute uncertainty this will reduce the % uncertainty (as % uncertainty = 100 x absolute uncertainty/measurement)

21
Q

To determine the acceleration due to gravity, a student drops a ball from an upstairs window instead of a lower one. Explain why this is more likely to produce an accurate result.

A

The time taken for the ball to fall will increase
b. Reducing the % uncertainty in the measurement of time

22
Q

Show how to calculate the absolute uncertainty in a measurement when given its percentage uncertainty:

A

absolute uncertainty = (percentage uncertainty / 100) x mean value

23
Q

State the range of values a measured value can take when given its percentage uncertainty eg. if resistance = 4.0Ω +/- 2% what is the range of resistance?:

A

calculate the absolute uncertainty first: (2/100) x 4 = 0.08.
b. So resistance = 4.0+/- 0.08 Ω

24
Q
  1. State the equation for % difference and explain what it can tell us about a measurement
A

a. % difference = 100 x (measured value – true value) / true value
b. This is a measure of the accuracy of the experiment as it is quantifying the difference between the true value and the measurement

25
Q

Describe examples of things that may have caused a result to be inaccurate

A

Parallax error introduces random error (if the viewer is looking at the scale from different angles each time) or systematic error (if the viewer is looking at the scale from a consistently wrong angle)
b. Zero error may have introduced systematic errror

26
Q

Describe what is meant by zero error and explain how to correct for it

A

Zero error is a systematic error that occurs when a measuring instrument does not display exactly zero when no object is being measured
b. To correct for it you should subtract or add the zero error

27
Q

Explain why a digital thermometer is a better choice of a device than an in glass thermometer to measure temperature

A

digital thermometer will have a higher resolution, leading to a measurement with a lower absolute uncertainty and therefore lower % uncertainty
b. A digital thermometer also avoids parallax error

28
Q

Describe 5 things to identify when criticising a table of results

A

All data in a column should be to the same number of decimal places as the resolution of an instrument
b. All data that has been calculated from raw data should be to the same number of significant figures as the raw data
c. Repeats should be evident
d. The range of the independent variable should be high
e. At least 6 sets of results should be taken (important note – this does not mean you should only take 6 sets of results in your required practicals/future experiments. 6 is a minimum, more will achieve a result that is more likely to be closer to the true value.)

29
Q
A

All values of current should be given to the same number of decimal places
b. All values of potential difference should be given to the same number of decimal places
c. All values of resistance should be given to the same number of significant figures as the raw data it was calculated from: ie. As the pd and current so all resistance values should have 2sf
d. There are only 4 sets of results – there should be at least 6
e. There is no evidence of repeats
f. The range of values of the current is too small
Key point: notice how the rules above have been applied to the table with specifics – I do not just say ‘all data in a column should be to the same dp’, I say specifically ‘all current values should be to the same dp’. I do not just say ‘there are not enough sets of results’, I say ‘there are only 4 sets of results – there should be at least 6’.

30
Q

. Define directly proportional and describe its graphical appearance

A

Two quantities are directly proportional if when one increases by a certain factor the other increases by the same factor
b. It will be a straight line through the origin

31
Q

Draw a graph illustrating the relationship between two quantities that are inversely proportional

A