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Statistics refer to science and practice to develop human knowledge and use empirical data expressed in quantitative form. Usually it is considered a mathematical science slightly different from the mathematical branch. Statistical analysis includes the process of data collection and analysis and pre-aggregation of data in digital format.
Statistics provide tools for forecasting and forecasting using statistical data and models. Statistics apply to various “academic fields”, such as insurance, economics and finance.
The beginning of advanced statistical software and technology has expanded the scope of statistical application to more parts, and the statistics contain multiple concepts that are interrelated, and students will have difficulty performing these activities skillfully in the future.
Therefore, experts are required to be able to decompose complex concepts and present them simply in an understandable way. Descriptive statistics This area is a way to summarize and interpret the data collected. But it comes down to draw conclusions about the information we collect or present.
Since then, the application of descriptive statistics requires two types of statistical ideas: the first is the measurement of propagation, called a graphical compendium. Summary Chart Practice graphical images to analyze data. Summary, mean, pattern, median, and quartile used to analyze given data.
Inference Statistics is a study used to equate data with general conditions and shows the difference between descriptive and inference statistics. Inference statistics are hypothesis tests, sample tests, regression, and main component analysis.