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Quantitative methods are the processes that use numerical tools to make assumptions for a particular phenomenon or topic. The Numerical statistics usually takes figures from data collected and the scale of measurement is called variables. There are four types of scale of measurement Interval, Ordinal, Nominal, and Ratio. In Terminology it is a systematic observation and experimentation involving mathematical, statistical as well as communal techniques to solve a particular phenomenon. The mathematical statistics leads to create theories and hypothesis regarding the phenomena. It involves quantitative data which is nothing but any data in numerical form and in statistical order. It has a varied number of applications in day to day life involving data research, economics, marketing gimmick, physiology etc. Quantitative Methods focuses on tools related to numerical figures and mathematical data collected statistically from polls, surveys etc. The main goal in using quantitative methods is use know the relation between one entity and another in a hypothesis problem. The experiments are either descriptive or experimental in nature. Descriptive processes only deals with the relationship of variables where as experimental method studies major processes. It also deals in logical processes. Detail Analysis and better explanation of Quantitative Methods can be done from Quantitative Methods Assignment Help.
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• It uses a number of tools which are specifically used for data gathering and collection through a variety of sources. The data items contain information’s such as personal and professional details of individuals. The tools used are often called Structured Research tools.
• The Structured tools that are used for data collection and gathering are pre tested and verified to ensure accuracy, validation and quality of data produced in the process. The Data in the result are from huge sample sizes from the hypothesis population. The details list of tools can be taken from Quantitative Methods Assignment Help.
• Lot of Importance is given to the quality of data as for better data analysis a normal population statistical graph is used instead of non-normal graph. It requires a huge numbers in terms of population and the processes is carried out smoothly with no biasing in terms of events.
• The Studied and Researched data can be duplicated or replicated or in simple words repeated In order to cooperate with the workings of another processes meanwhile. It avoids aggressive conclusions due to this.
• The Obtained data are sorted out using graphs, tables, matrix, rows and columns. This enables better and efficient data keeping and finding and hence saves lot of time.
• The Quantitative data enabled models and formulas can produce results or outcomes using the help of advanced technologies and computers.
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