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the average, the sum
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What is the definition and example extraneous data?
Data that is'nt related to the question or analysis in hand.
What is the science definition for data?
It is information, especially information organized for analysis.
What is the best data analysis software for Windows?
The best data analysis software for Windows is Matlab. It is the most used commercial data analysis software worldwide. It is a high level language and interactive environment for numerical computation, visualization, and programming.
Choose the definition that fits this term.secondary analysis?
data that has already been gathered from a larger population
Identify the correct sequence in the scientific problem solving process?
problem definition, data analysis, conclusion
What is definition of grouped data?
Grouped means the grouping of relevant data after analysis. When raw data is analyzed in proper and meaningful way then its transformed into groups and these groups are known as grouped data.
What is the definition of the term quantitative methods?
The definition of the term quantitative methods is the range of mathematical and statistical techniques used to analysis data. This is primarily used in math equations.
Various authors definition for ratio analysis?
Ratio analysis is a method which takes financial data and converts it into ratios for comparison. The data is available and calculating ratios can be accomplished with public financial statements. Calculations provide helpful for decision-making.
What Microsoft application is best for managing quantitative data?
Microsoft Excel, as it is for numerical analysis and manipulation, which is what is done with quantitative data.
What best describes secondary analysis?
data that has already been gathered from a larger population
What is the optimal integration time for achieving accurate results in the data analysis process?
The optimal integration time for accurate results in data analysis depends on the specific data being analyzed and the goals of the analysis. It is important to balance the need for sufficient data points with the risk of introducing noise or bias. Experimentation and testing can help determine the best integration time for a particular analysis.
How does technical analysis differ from the fundamental analysis?
Technical vs. fundamental analysisThe primary difference can be summed up in terms of both the underlying philosophy, and the data studied. Fundemental analysis is concerned chiefly with discovering asset values. The data relied upon includes off exchange sources such as balance sheets, income statements and supply and demand statistics.Technical analysis on the other hand, is concerned chiefly with the timing of buy and sell decisions. The data studied is generated exclusively by the exchanges.Where does investor sentiment fall within these two definitions? If the sentiment data is derived from options data, then it would fit the definition of technical analysis. If on the other hand the data was generated by opinion polls, then it would not fit the definition of technical analysis. Nor would it be considered fundamental analysis either. It would more properly and simply be defined as "sentiment analysis."While there is some debate over whether off-exchange data (e.g. astrological data, dividends, opinion polls, etc.) properly belong under the definition of technical analysis, none of the main organizing bodies for technical analysis have ever rendered an official, public opinion on this question.According to noted technical analyst Daniel Chesler, CMT --"Technical analysis is the forecasting of markets through the study and analysis of data generated exclusively from the buying and selling of financial instruments. It is part science and part formalization of trader intuition and experience. Any market for which there is a regular, transparent transaction history is a candidate for technical analysis. Planetary cycles, opinion polls, fundamental, monetary and economic data as well as any data not specifically generated from the buying and selling process, are not a part of orthodox technical analysis."
