Working Scientifically Flashcards

1
Q

When evaluating science applications - 5 implications to consider

A
  • personal
  • social
  • economic
  • environmental
  • ethical
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2
Q

What’s an ethical issue

A

A problem where a choice has to be made concerning what is right and what is wrong

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3
Q

How do scientific methods and theories develop over time?

A

new technology allowing new evidence to be collected and changing explanations as new evidence is found

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4
Q

Why are models helpful (3)

A
  • making scientific ideas easier to understand
  • help in making predictions
  • help in developing explanations
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5
Q

Representational model

A
  • use familiar objects to describe and explain observations

- e.g. using marbles to model water particles

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6
Q

Spatial models

A
  • represent things that are tiny/ enormous
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7
Q

Descriptive models

A
  • use words and ideas to help imagine something, or describe it simply
  • chemical equations to represent reactions
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8
Q

Mathematical models

A
  • use maths to describe systems and make predations

- scientists use these to describe and predict movements of planets and stars

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9
Q

computational model

A
  • a type of mathematical model

- Met Office uses supercomputer used to predict weather

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10
Q

Peer review - meaning

A

Research that is peer reviewed has been evaluated by other scientists who are experts in that area of science.

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11
Q

What does peer review check (3)

A

Valid - does it measure what it says it does, was the method designed correctly and appropriately?

Original - has anyone else already carried out similar research, and has their work been credited? Are the results new?

Significant - are the findings of the research important?

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12
Q

Models advantage

A

Models can help to investigate an idea without ethical or practical difficulties.

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13
Q

International system of units - Sl

What and Why?

A
  • scientists use internationally accepted names, symbols, definitions and units so that scientists everywhere can understand their work
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14
Q

Hypothesis - what (3)

A
  • explanation based on observations
  • and backed up by scientific knowledge and creative thinking.
  • Must be testable
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15
Q

How scientists answer questions

A
  1. Make an interesting observation or notice a problem to solve
  2. Ask a scientific question
  3. Develop a hypothesis
  4. Make a predication based on hypothesis
  5. Collect evidence to test prediction by doing an experiment and/or making observations and/or searching for data else where
  6. Analyse the evidence
  7. Review the evidence - does it support the hypothesis - if no back to (step 3)
  8. Accept the hypothesis and develop it as an explanation or theory
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16
Q

independent variable

A

Variable you deliberately change

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17
Q

Dependent variable

A

Variable you measure for each change of the independent variable

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18
Q

Control variables

A

Ones that make affect the outcome, as well as the indecent variable.
These variables are kept the same

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19
Q

Continuous variable

A

Can have any value, and can be measured (e.g. time spent on social media)

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20
Q

Discrete variable

A

Whole number values

E.g. number of texts

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21
Q

Categoric variable

A

Values are described by labels

E.g. make and model of a phone

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22
Q

Accuracy is what

A

How close a numerical result is to the true value

23
Q

Measuring temp. With a thermometer

- 3 things to do

A
  • using thermometer carefully
  • repeating measurements and calculating the mean
  • repeating measurements with a different instruments, e.g. a temperature probe anbd checking that the readings are the same
24
Q

Anomalies

A

try to explain why the odd result is different - an odd result can be removed if there is a good reason to do so, eg if there is a measurement or recording error

25
Precision ?
Precise measurements give similar results if you repeat the measurements - so spread of data set is small
26
How to get precise data
- use a measuring instrument with high resolution - the resolution of a measuring instrument is the smallest change in the quantity that gives a change in the reading that you can see
27
How should all results be recorded when using a measuring instrument
To same number of decimal places
28
How to see which set of data is more precise?
Check the spreads - subtract smallest measurement from largest
29
Can data be precise but not accurate
Yh
30
Repeatable
Measurements are very similar when repeated by the same person or group, using the same equipment and method
31
Reproducible
Measurements are very similar when repeated by a different person or group, using different equipment and/or methods
32
If someone else repeats your investigation / | If you do same investigation with different equipment =
Reproducible
33
Repeat several times using same method and equipment and get similar results, results are ?
Repeatable
34
Table, which columns for independent variable, which for dependent , where units written ?
- IV in left column - DV in right column - write units in column headings, not next to each piece of data
35
What chart/graph for categoric data?
Bar chart | Cat, dog, Guinea pig
36
Chart/graph for continuous data
Line graph
37
Variable on x + y axis
Independent, x | Dependent, y
38
Scale of y axis =
- scale is even | - chart should be as big as possible
39
Tell me about outliers - what it is - included in mean or no
- any value in a set of results that you judge its not part of the natural variation you expect - consider outliers carefully, and decide whether or not to include them when calculating mean
40
Line of best fit (3) | - incl shape
- circle any outliers - decide whether the LOBF is a straight line or curve - draw line through middle of points - should be roughly same number of points above the line as there are below it
41
2 parts of a scientific conclusion
- description of a pattern | - scientific explanation of the pattern, linked to the hypothesis
42
Relationships between variables
- linear | - positive/ negative
43
TO EVALUATE an investigation. Think about 2 questions:
- how to improve method | - what is the quality of the data
44
Quality of data can be evaluated by considering (4)
Accuracy, precision, repeatability, reproducibility
45
2 types of errors | Confidence in accuracy o results. Data cannot always be relied upon
Random error, systematic error
46
Random error
Random errors are unpredictable and can be due to human error. eg in judging when to stop a timer, changes to em or e.g. changes in environmental conditions
47
Action against random errors
- you cannot control the chase of random errors | - however, you can reduce their effect by repeating measurements and calculating a mean
48
Systematic errors
Systematic errors cause results to differ from the true value by the same amount each time. These could be due to: - a fixed error in the measuring instrument, eg not being correctly zeroed (ammeter that doesn’t read zero when no current) - influence of the environment, eg allowing a reaction to take place at a hotter temperature - method of observation, eg not reading the volume of a liquid correctly using bottom of the meniscus
49
Against a systematic error
- if you think you have a systematic error, repeat the measurements with a different piece of equipment - then compare the two sets of measurements
50
Uncertainty definition
The interval within which the true value can be expected to lie, with a given level of confidence I.e. temperature is 65.5 degrees C +- 0.5 C with a confidence of 95 percent
51
Uncertainties are due to
Measuring instrument
52
If the smallest scale division is 1 degrees, you can estimate the uncertainty as
+- 0.5 degree
53
Range and confidence in results
The range describes the difference between the highest and lowest repeat results. The smaller the range, the greater the confidence will be in the accuracy of the results.