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What is statistics?
Statistics is defined as a collection of data, organizing, interpreting, analyzing, interpreting, and presenting the data. In layman's terms, it is used for comparison, calculating averages, etc. for the businessman; it is the tool to know the position of his business with reference to industry and competitors.
The wagon wheel of cricketer scores and weather reports are examples of uses of statistics in everyday life. Government schemes mainly depend on the statistical data which is collected through census or survey (which is termed as the primary source of data). Successful government projects depend on the data collected.
Statistical techniques sample and data collection
The statistical data can be collected in two ways namely primary and secondary. The primary source of data is collected directly or personally for a specific purpose. This is the most reliable data. Secondary data is data that is user data or second-hand information.
Once this data is collected, it is to be organized in such a way that it can be easily interpreted. Not all the data can be used instead sampling technique is used. Sampling is processed in which a set is taken from the population which acts as a representative of the data. This data is used for statistical purposes.
The error which is because of the difference between the central value and sample value can be classified as a Type 1 error and a Type 2 error. This classification depends on the acceptance or rejection of the null hypothesis.
Tools used in statistical data collection
Some of the statistical tools are mean, correlation and regressions, time series methods, Histogram Excel, Check Sheet, Control Chart, Design of Experiments, Box and Whisker Plot, Scatter Diagram, etc.
How to become a good statistician
If you want to become a good statistician, make sure that you have understood the basic terms and concepts thoroughly, basic formulas, and their applications.
Misuse of statistics: some of them argue that statistical data gives only mathematical figures but not complete data regarding the problem and its causes for it. Statistical data can be misrepresented, as the mathematical data can be taken differently by different people as there is no uniformity in it. It can be easily manipulated which brings a huge change in the conclusion, especially in the government bodies.
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