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Classification and tabulation of data. The collected data is usually contained in schedules and questionnaires. But that is not in an easily assailable form. The answers will require some analysis if their salient points are to be brought out. As a rule, the first step in the analysis is to classify and tabulate the information collected, or, if published statistics have been employed, rearrange these into new groups and tabulate the new rearrangement. In case of some investigations, the classification and tabulation may give such a clear picture of the significance of the material that no further analysis is required. In other cases these processes, though may materially assist the analysis, are not sufficient presentation of the facts.
Learn data tables and types MCQs , "Data Classification, Tabulation and Presentation" quiz questions and answers for admission and merit scholarships test. Learn data tables and types, data classification career test for accredited online business management degree. Practice jobs' assessment test, online learning data tables and types quiz questions for online business and administration degree. MCQ : If the vertical lines are drawn at every point of straight line in frequency polygon then by this way the frequency polygon is transformed into. MCQ : The discrete variables and continuous variables are two types of.
Home Consumer Insights Market Research. Quantitative data is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it. This data is any quantifiable information that can be used for mathematical calculations and statistical analysis, such that real-life decisions can be made based on these mathematical derivations. This data can be verified and can also be conveniently evaluated using mathematical techniques. There are values associated with most measuring parameters such as pounds or kilograms for weight, dollars for cost etc. Quantitative data makes measuring various parameters controllable due to the ease of mathematical derivations they come with.
COLLECTION OF DATA,. CLASSIFICATION AND TABULATION. Introduction: Everybody collects, interprets and uses information, much of it in a numerical.
Tables are devices for presenting data simply from masses of statistical data. Tabulation is the first step before data is used for analysis.
Tabulation is the systematic arrangement of the statistical data in columns or rows. It involves the orderly and systematic presentation of numerical data in a form designed to explain the problem under consideration. Tabulation helps in drawing the inference from the statistical figures. Tabulation prepares the ground for analysis and interpretation. Therefore a suitable method must be decided carefully taking into account the scope and objects of the investigation, because it is very important part of the statistical methods.
Data analysis is a process of inspecting, cleansing , transforming , and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses.
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