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Proportional Representation of SS and MS

In statistical analysis, especially in the context of analysis of variance (ANOVA), the concepts of Sum of Squares (SS) and Mean Squares (MS) are fundamental for understanding variability within data sets. Sum of Squares (SS) quantifies the total variation found in the data by measuring the discrepancies between observed values and their respective means. When visualized in circles, each segment of the circle can represent different sources of variability, such as between-group and within-group variations. This visual representation helps in illustrating how much of the total variability is attributable to different factors.

When analyzing SS and MS through these circle visualizations, researchers can readily interpret the balance between explained and unexplained variability within their models. The circular format provides an intuitive understanding of how individual components (SS and MS) contribute to the overall statistical picture. By engaging with these diagrams, stakeholders can identify key areas of focus for further investigations, ensuring that efforts are directed toward understanding the factors that significantly impact outcomes.

Features of SS / MS circles

Applications of SS / MS circles

Specifications of SS / MS circles

Stainless Steel (SS) Circles Mild Steel (MS) Circles
Material Grade SS 304, SS 316, SS 202, SS 410, SS 430 MS IS 2062, ASTM A36, EN8
Diameter Range 50 mm – 2500 mm 50 mm – 2500 mm
Thickness Range 1 mm – 100 mm 1 mm – 100 mm
Surface Finish Mill Finish, Polished, Brushed, Mirror Finish Mill Finish, Black Finish
Tolerance±0.5 mm (Standard) ±1 mm (Standard)
ApplicationKitchenware, Industrial Components, Architectural, Automotive, Pharma Structural, Fabrication, Engineering, Automotive
Corrosion Resistance High (Rust-resistant) Low (Requires Coating/Painting)
Hardness180 – 220 HB (Depending on Grade) 120 – 170 HB (Depending on Grade)
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