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Statistical Anomalies Analysis: Insights on Control Limits and Findings

This report, authored by Aloysius, Chan, Eddie, Lim, Tan, Yu, Xiang, Yap, Jun, Lin, Lee, and Bing Qian, delves into the analysis of anomalies in data patterns above and below control limits. It discusses various parameters (1-19), identifies trends in fluctuation frequencies, and offers recommendations for tightening control limits. The findings emphasize the significance of understanding each parameter and recommend deeper exploration into statistical analysis and charting methods to enhance data comprehension and insight.

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Statistical Anomalies Analysis: Insights on Control Limits and Findings

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  1. MCM Data Report Aloysius Chan Eddie Lim Tan Yu Xiang Yap Jun Lin Lee Bing Qian

  2. Anomaly above Findings - Parameters 1, 2, 3 Upper Control Limit Centre Line

  3. Findings - Parameters 12, 13, 14 Upper Control Limit Centre Line Lower Control Limit

  4. Anomaly frequency increases Findings - Parameters 15, 16, 17, 18 Centre Line Upper Control Limit Lower Control Limit

  5. Findings - Parameter 19 Centre Line Fluctuation Upper Control Limit Lower Control Limit

  6. 15 16 17 18 19 15 16 17 18 Anomalies Anomaly frequency increase 4000 onwards

  7. Anomalies 15 16 17 18 19 Run above centre line Run below centre line

  8. Anomalies 15 16 17 18 19 Fluctuation

  9. Recommendations Anomalies greatly skew moving range Tighten control limits Most points lie near to the centre line

  10. Final Thoughts Explore topic deeper Deeper exploration of statistical analysis Different types of charts Better understanding of data Meaning of each individual parameter Significance of findings

  11. Thank You!

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