Data that is'nt related to the question or analysis in hand.
Extraneous data is that which is not relevant to the specific question or area being considered/analysed.So, for example, let us imagine you had collected data on all the boys and girls in your class at school. Now let us suppose that you wished to analyse all the data on the boys only.As you are now only interested in the data relating to the boys, then the data relating to the girls is extraneous for this purpose.
Extraneous data refers to information that is not relevant or essential to a particular analysis, study, or decision-making process. This type of data can introduce noise and potentially skew results, making it difficult to draw accurate conclusions. It is important to identify and minimize extraneous data to ensure that analyses are focused and effective.
Definition of Pictograph * Pictograph is a way of representing statistical data using symbolic figures to match the frequencies of different kinds of data.
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.
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.
Extraneous means 'coming from the outside'.
Extraneous data is that which is not relevant to the specific question or area being considered/analysed.So, for example, let us imagine you had collected data on all the boys and girls in your class at school. Now let us suppose that you wished to analyse all the data on the boys only.As you are now only interested in the data relating to the boys, then the data relating to the girls is extraneous for this purpose.
Extraneous data refers to information that is not relevant or essential to a particular analysis, study, or decision-making process. This type of data can introduce noise and potentially skew results, making it difficult to draw accurate conclusions. It is important to identify and minimize extraneous data to ensure that analyses are focused and effective.
Silk is a natural protein fiber, not mixed with any extraneous materials, element.
Johannes Brahms said: "It is not difficult to compose. But it is terribly difficult to let the extraneous notes fall under the table".
a collection of data is supplied by the database vendor. example: Oracle
Extraneous information refers to details or data that are not necessary or relevant to the main topic or purpose of a discussion, experiment, or document. It can create confusion or distract from the key points being communicated. It is important to identify and remove extraneous information to maintain clarity and focus.
A superkey is a combination of attributes that can be uniquely used to identify a database record. A table might have many superkeys. Candidate keys are a special subset of superkeys that do not have any extraneous information in them.
Presentation of data means exhibition of data in such a clear and attractive mannner that these are easily understood and anaysed
extraneous " not pertinent; irrelevant: an extraneous remark; extraneous decoration."
Definition of Pictograph * Pictograph is a way of representing statistical data using symbolic figures to match the frequencies of different kinds of data.
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.