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.
Data that is'nt related to the question or analysis in hand.
An variable in science something that can be changed and example is facts and figures .
Extraneous means extra and unnecessary. Extraneous solutions are values that can arise from the process of solving the equation but do not in fact satisfy the initial equation. These solutions occur most often when not all parts of the process of solving are not completely reversible - for example, if both sides of the equation are squared at some point.
Yes. It is a continuous variable. As used in probability theory, it is an example of a continuous random variable.
extraneous variable
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.
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.
False: they are called exogenous.
No, an independent variable is one that is intentionally manipulated by the researcher to observe its effect on the dependent variable. A variable that changes outside of the participants' control would typically be considered an extraneous variable that could potentially influence the results of the study.
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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.
An extraneous factor is one that is not pertinent or relevant to what is being studied, for instance, in a research experiment. It may, however, have an unwanted impact if naturally present and not controlled or distributed evenly across groups. Example: You give the same test to two groups. One group was allowed to study, the other was not. The "study vs. no study" variable is what you are most interested in, and you have attempted to control for other variables that would not be considered relevant to your interest is the study versus no study variable. For instance, the gender of the subjects is not something you want to study in this research, so you make sure that both your study and your no-study subject groups are about the same in terms of gender distribution. You would also want to make sure that the two groups had roughly the same experience in terms of room temperature, time of day taking the test, amount of light to see by and so on so that the groups were differently primarily in whether they studied or not, and nothing else.
Johannes Brahms said: "It is not difficult to compose. But it is terribly difficult to let the extraneous notes fall under the table".