Measurement Statistics | Report

Running head: MEASUREMENT STATISTIC
MEASUREMENT STATISTIC
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MEASUREMENT STATISTIC
1
Compare independent variables, dependent variables, and extraneous
variables.
The dependent variable is describing as the idea which is calculating in an experiment at
the same time as the independent variable is the thing that is operating or transformed (Fukagawa
et al., 2014). Extraneous variables are objectionable variables that inspire to create the
connection between the variables that the experimenter is detecting. The independent variable,
also known as predictor variables and the other name of dependent variables, is criterion
variables, and the extraneous variable is known as confounding variables.
For instance, an experimenter was learning the effects of gender on answer times, with
the concept that ladies would be slower than men. The experimenter surveyed 25 members in a
public conference room during the day (Banker et al., 2016). The dependent variable is the
reaction times, the independent variable is the sexual category of members, and extraneous
variables define the nature of the conference room.
Describe two ways that researchers attempt to control extraneous variables
One method to control extraneous variables is random sampling. It does not remove any
extraneous variable, and it only confirms it is equivalent between all collections (Allom, Mullan
& Hagger , 2016). When this method isn't using, the outcome that an extraneous variable can
have on the learning results develop a considerable concern.
For scholars to be assuring that modify in the independent variable will exclusively
affecting to modify in the dependent variable, potential confounds require to be recognized and
eliminated.
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