File Name: collection and tabulation of statistical data .zip
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Introduction 1.
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.
Classification is prepared to analyze the collected data whereas tabulation is used to present the collected data. The major difference between classification and tabulation is how they use the data. Classification is the method of arranging the data into different groups based on their characteristics whereas the method of presenting data in a more organized way so it is easier to interpret and compare them is known as Tabulation. Classification is made after collecting the data while tabulation is made after classification. After the process of collecting data is done it then needs to be examined. At this stage the data is raw and for it to be ready for analysis it needs to go through a process of editing.
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. In general, the tabulation is classified in two parts, that is a simple tabulation, and a complex tabulation.
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.
Move your way through the CRVS system or simply click on a topic to dive into a specific subject. Tabulation and generation of vital statistics for national policy. Irrespective of the agency that manages the vital statistics database, there are certain basic principles that should be followed when tabulating the data; some of the key ones are outlined below. The most important principle is that the data should always be stored at the most detailed level, so that different tabulations and groupings can be made to suit different purposes. For instance, the underlying cause of death data Cause of death in CRVS should be stored with the most detailed disaggregation used of the International Classification of Diseases ICD disaggregation level used.
The process of placing classified data into tabular form is known as tabulation. A table is a symmetric arrangement of statistical data in rows and columns. Rows are horizontal arrangements whereas columns are vertical arrangements. It may be simple, double or complex depending upon the type of classification. When the data are tabulated to one characteristic, it is said to be a simple tabulation or one-way tabulation.
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. Quantitative data is usually collected for statistical analysis using surveys , polls or questionnaires sent across to a specific section of a population.
An Introduction to Statistics pp Cite as. Unable to display preview. Download preview PDF.