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extraneous variable can be defined as any variable other than the independent variable that could cause a change in the dependent variable. In our study we might realize that age could play a role in our outcome, as could family history, education of parents or partner, interest in the class topic, or even time of day, preference for the instructor's teaching style or personality. The list, unfortunately, could be quite long and must be dealt with in order to increase the probability of reaching valid and reliable results.
What else can I help you with?
What is a variable that interferes with other variables in a study called?
extraneous variable
What is the difference between moderating and extraneous variables?
Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
What are extraneous and confounding variables?
Extraneous variables are factors other than the independent variable that can influence the dependent variable, potentially skewing the results of an experiment. Confounding variables are a specific type of extraneous variable that is related to both the independent and dependent variables, making it difficult to determine the true effect of the independent variable on the dependent variable. Both types of variables can threaten the internal validity of a study if not properly controlled.
What is an extraneous solution of an equation?
when you solve a questiom, you get an answer. If you chect your answer by substituting the value of the variable in the question and you don't get L.H.S and R.H.S equal then your answer is called extraneous solution.
The variable not related to the purpose of th study but may affect the dependent variable are termed as extraneous variable true or false?
False: they are called exogenous.
Is A variable that changes outside the control of the participants an independent variable?
Variables that may affect the results of an experiment are described by the umbrella term "extraneous variable". extraneous variables that actually affect the result without experimenter knowledge is called a confounding variables eg. if the experimenter is testing verbal recall performance, hair color is not going to effect the results. hair color is an extraneous variable, but not compound. but whether or not a subject had a good nights sleep can have a huge effect on the ability to remember words. therefore sleep is a compound variable.
Masks the true relationship between the independent and dependent variables?
control
What is extraneous variable and its example?
An extraneous variable is an external factor that can influence the outcome of an experiment but is not the primary variable of interest. For example, in a study examining the effect of a new teaching method on student performance, factors like students' prior knowledge, classroom environment, and time of day could serve as extraneous variables. If not controlled, these variables may introduce bias and affect the results, leading to inaccurate conclusions about the teaching method's effectiveness.
In an experiment f is the control variable g is the response variable and h and k are extraneous factors. The specific units of are referred to as the treatments of the experiment.?
F
In an experiment h is the control variable k is the response variable and l and m are extraneous factors. The specific units of are referred to as the treatments of the experiment?
H
In an experiment l is the control variable m is the response variable and n and p are the extraneous factors. The specific units of are referred to as the treatments of the experiment?
h
What is the variable in which the investigator changes or manipulates during the experiment?
The variable that the investigator changes or manipulates during the experiment is called the independent variable. This is the factor that is deliberately altered in order to observe its effect on the dependent variable, which is the outcome being measured.
