What is commodity statistical analysis and identification?

Updated on technology 2024-04-01
2 answers
  1. Anonymous users2024-02-07

    Through the SPC system, the process analysis, control chart analysis, histogram analysis, trend chart analysis and process capability analysis of the machined product parts can be carried out. And the quality indicators (standard deviation, CPK) of batches can be analyzed according to different latitudes such as products, workshops, and processes, such as trend chart analysis and comparative analysis by year, month, and week.

    You can intuitively see the fluctuation between batches of product parts. In the heat treatment and molding processing workshop, the process data is obtained by automatic collection, and the actual process parameter graph can be drawn by statistical analysis, and the key parameters of the heat treatment, molding and processing are analyzed by comparing with the process requirement parameter graph. These analysis tools are applied in the SPC system at different stages, focusing on different aspects, ensuring the realization of the objectives of the SPC system, and at the same time, the analysis of the data can be formed and exported to the analysis report.

    Statistical analysis refers to research activities that combine quantitative and qualitative aspects using statistical methods and knowledge related to the object of analysis. It is a very important work after statistical design, statistical survey, and statistical collation, and it is based on the work of the previous stages to achieve a deeper understanding of the research object through analysis. It is also a research activity that integrates the design of the analysis plan, the collection and collation of data under a certain topic.

    Systematic and complete data is a necessary condition for statistical analysis.

    The use of statistical methods and the combination of quantitative and qualitative are important features of statistical analysis. With the popularization of statistical methods, not only statisticians can engage in statistical analysis, but also workers from all walks of life can use statistical methods to conduct statistical analysis. It is strictly incorrect to say that only the analytical activities in which statisticians are involved are called statistical analysis.

    It is the product of statistical analysis to provide high-quality, accurate and timely statistical data and high-level, in-depth and wide-ranging statistical analysis reports.

  2. Anonymous users2024-02-06

    A statistical chart is a tool that uses points, lines, surfaces, and volumes to draw geometric shapes to represent the relationship between various quantities and their changes. A general term for various graphs that represent the size and movement of statistics. Among them, there are bar charts, fan charts, line charts, pictograms, etc.

    In statistics, the method of using statistical graphs to represent statistical data is called statistical graphic. Its characteristics are: the image is concrete, concise and vivid, easy to understand, and clear at a glance.

    Its main uses are: to show the contrast between phenomena; uncover the overall structure; check the implementation of the plan; reveal the interdependence between phenomena and reflect the distribution of overall units; Illustrate the spatial distribution of phenomena. Generally, the Cartesian coordinate system is used.

    The abscissa is used to represent the group of things or the independent variable x, and the ordinate is often used to represent the number of occurrences of things or the dependent variable y; Or use angular coordinates (such as a circular map), geographic coordinates (such as a topographic map), etc. According to the numerical nature of the ruler, there are real number charts, cumulative number charts, percentage charts, logarithmic charts, exponential charts, etc.; Its structure includes the title of the figure, the title of the figure (the title of the figure), the ruler (the coordinate unit), various lines (baseline, outline, guideline, etc.), the legend (legend description, data**, etc.), etc. <>

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