# data[].attributes.headline
relationship between IV and DV and controlling variables 

# data[].attributes.subject
relationship between IV and DV and controlling variables 

# data[].attributes.body
Advantages: reduces potential extraneous/ confounding variables

Disadvantages: setting can alter results

# data[].attributes.headline
A relationship between two or more variables without the use of active manipulation 

# data[].attributes.subject
A relationship between two or more variables without the use of active manipulation 

# data[].attributes.body
Advantages : results can be achieved in natural behaviours

Disadvantages : bidirectional

# data[].attributes.body
how close the results are to the true value.

# data[].attributes.headline
a number that stands out from the rest of the data and that increases the standard deviation and make the means' accuracy decrease

# data[].attributes.subject
a number that stands out from the rest of the data and that increases the standard deviation and make the means' accuracy decrease

# data[].attributes.body
refers to how closely a set of measurement values are close to each other

# data[].attributes.headline
an error made by the researcher which can affect the results of the study, reducing accuracy 

# data[].attributes.subject
an error made by the researcher which can affect the results of the study, reducing accuracy 

# data[].attributes.body
measurement or observable error made by the experimenter.

# data[].attributes.body
Random Errors are unpredictable variations in measurements and result in a spread of readings

# data[].attributes.body
unpredictable and uncontrollable error that affects the data and can be improved by repeating the experiment.

# data[].attributes.body
The extent of which an experiment can be repeated under the same conditions to produce consistent results

# data[].attributes.body
The same results under the same conditions.

# data[].attributes.body
The extent of which an experiment can be repeated under different conditions to produce consistent results

# data[].attributes.body
The same results under different conditions.

# data[].attributes.body
The extent to which an experiment measures what it claims to measure

# data[].attributes.body
The extent of which an experiment can be applied to the population