Collecting data Flashcards

1
Q

What are the two variables scientists use in experiments

A

Independent variable (explanatory)
Dependent variable (response)

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2
Q

What is the independent variable

A

What you change in the experiment

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3
Q

What is the dependent varaible

A

What is effected in the experiment

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4
Q

What is extraneous varaibles

A

The researcher is not interested in these but it could effect the experiment so need to be controlled.

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5
Q

When can you assume the data from an experiment is valid and reliable

A

When the replicated results are similar

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6
Q

What are the 2 types of experiments

A

Controlled experiments
Uncontrolled experiments

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7
Q

Where are laboratory experiments conducted

A

In a controlled environment

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8
Q

What are the explanatory and response variables and the advantages and disadvantages of this investigation:
To investigate the effects of sunlight on plant colour, plants are exposed to sunlight for varying lengths of time.

A

Explanatory variable: length of time in sunlight
Response variables: difference in colour of plant
Advantages: easy to replicate, can control extraneous variables such as change in weather
Disadvantages: plants may react differently in a controlled environment compared with real-life growing conditions

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9
Q

What two types of experiments are uncontrolled experiments

A

Field experiments
Natural experiments

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10
Q

What are field experiments and where are they carried out

A

They are carried out in an everyday (uncontrolled) environment. The researcher sets up the situation and variables are controlled

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11
Q

What are the explanatory and response variables and the advantages and disadvantages of this investigation:
To investigate a new treatment for arthritis, the mobility of a sample of people is assessed before the treatment and then again after the treatment

A

Explanatory variable: new treatment
Response variable: difference in mobility
Advantages: more likely to reflect real-time behaviour
Disadvantages: cannot control extraneous variables e.g how active a person is at home and what effect that might have on mobility

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12
Q

What are natural experiments and where are they carried out

A

They are carried out in an everyday (uncontrolled) environment. The researcher has no control over any of the variables

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13
Q

What are the explanatory and response variables and the advantages and disadvantages of this investigation:
To investigate how a reduction in speed limit effects the number of car accidents on a road, the number of accidents per year on the road before the reduction is compared with the number per year after the reduction.

A

Explanatory variable: speed variable
Response variable: number of accidents
Advantages: more likely to reflect real-life behaviour
Disadvantages: cannot control any variables, harder to replicate the study

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14
Q

Why is it important to check data

A

To ensure it is consistent and accurate, otherwise your results may be invalid.

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15
Q

What can collected data contain

A

Outliers and anomalous data

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16
Q

What are outliers and anomalous values

A

Values that do not fit the pattern of the rest of the data

17
Q

Why do you need to consider how your data has been collected

A

To see if your collection plan could affect the reliability of your results

18
Q

When must your data be cleaned

A

If you find problems with your data

19
Q

What must you do to clean data

A

-identify and correct or remove inaccurate data values or extreme values
-check units are consistent
-record values without units or other symbols
-decide what to do about missing data