Statistical Process Control Quiz Questions And Answers

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Janaisa Harris, BA (Mathematics) |
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Statistical Process Control Quiz Questions And Answers - Quiz

Ready to same some fantastic statistical process control quiz questions and answers? Play the quiz and test your knowledge about the same. Statistical process control is a method of quality control to employ statistical methods to monitor and control a process. This is useful to ensure that the process operates efficiently and produces more specification-conforming products causing less waste. All the best to you, and we have a big hope that you will like this quiz!.


Questions and Answers
  • 1. 

    The two main charts SPC uses are:

    • A.

      Histogram and Bar

    • B.

      Line Plot and Linear

    • C.

      Common cause and Special cause

    • D.

      Pie and Alpha

    Correct Answer
    C. Common cause and Special cause
    Explanation
    SPC (Statistical Process Control) is a quality control method used to monitor and control processes. It uses two main charts, namely the Common cause and Special cause charts. The Common cause chart helps identify variations that are inherent to the process and occur randomly, while the Special cause chart helps identify variations that are caused by specific factors and are non-random. These charts are essential in identifying and understanding the sources of variation in a process, allowing for appropriate actions to be taken to improve quality and performance.

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  • 2. 

    Statistical process control (SPC) is a method of quality control that uses statistical methods.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Statistical process control (SPC) is indeed a method of quality control that utilizes statistical methods. SPC involves monitoring and controlling a process to ensure it operates within predetermined quality standards. By using statistical techniques, SPC helps identify any variations or abnormalities in the process, allowing for timely adjustments and improvements to maintain consistent quality. Therefore, the given answer, "True," accurately reflects the relationship between SPC and statistical methods in quality control.

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  • 3. 

    Advantages of the SPC Process are:

    • A.

      Dramatically reduce variability and scrap.

    • B.

      Scientifically improve productivity

    • C.

      Reduce costs

    • D.

      Instantly react to process changes.

    Correct Answer(s)
    A. Dramatically reduce variability and scrap.
    B. Scientifically improve productivity
    C. Reduce costs
    D. Instantly react to process changes.
    Explanation
    The SPC (Statistical Process Control) process offers several advantages. Firstly, it helps in dramatically reducing variability and scrap, which means that it minimizes inconsistencies and defects in the production process, leading to improved quality. Secondly, it enables scientific improvements in productivity by providing data-driven insights and analysis, allowing for more efficient and effective operations. Thirdly, it helps in reducing costs by identifying and eliminating waste, optimizing resources, and streamlining processes. Lastly, the SPC process allows for instant reaction to process changes, enabling timely adjustments and improvements to maintain quality and efficiency.

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  • 4. 

    Special Cause Variation charts indicate the following:

    • A.

      Machine malfunction

    • B.

      Poor adjustment of equipment.

    • C.

      Faulty controllers

    • D.

      The poor batch of raw material

    • E.

      Operating procedures

    Correct Answer(s)
    A. Machine malfunction
    B. Poor adjustment of equipment.
    C. Faulty controllers
    D. The poor batch of raw material
    Explanation
    The correct answer indicates that Special Cause Variation charts can help identify machine malfunctions, poor adjustment of equipment, faulty controllers, and the poor batch of raw material as potential causes of variation in a process. These charts are used to identify specific factors that are causing the process to deviate from its normal or expected performance. By identifying and addressing these special causes of variation, organizations can improve the quality and consistency of their processes.

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  • 5. 

    Who benefits from using SPC?

    • A.

      All Britt Staff

    • B.

      Britt Customers

    • C.

      Engineering Department

    • D.

      Quality Control Department

    Correct Answer(s)
    A. All Britt Staff
    B. Britt Customers
    Explanation
    The correct answer is All Britt Staff, Britt Customers. This is because SPC (Statistical Process Control) is a quality control method that benefits all staff members by providing them with tools and techniques to monitor and control the quality of their work. It also benefits Britt customers as it ensures that the products or services they receive meet the required quality standards. The Engineering Department and Quality Control Department are also included in the answer as they are directly involved in implementing and maintaining SPC practices.

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  • 6. 

    SPC Common Cause Variation charts explain: 

    • A.

      Poor maintenance of machines.

    • B.

      Ambient temperature and humidity

    • C.

      Machines not suited to the job.

    • D.

      Machine malfunction

    Correct Answer(s)
    A. Poor maintenance of machines.
    B. Ambient temperature and humidity
    C. Machines not suited to the job.
    Explanation
    The SPC Common Cause Variation charts explain various factors that can contribute to variations in a process. Poor maintenance of machines can lead to inconsistencies in performance, while ambient temperature and humidity can also affect the process. Additionally, using machines that are not suited to the job can introduce variations. These factors are all examples of common causes of variation that can be identified and monitored using SPC charts.

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  • 7. 

    Statistical Process control is implemented and  applied to 

    • A.

      Monitor progress

    • B.

      Assist in MIM Degisn

    • C.

      Reduce or eliminate process waste

    • D.

      Evaluate the manufacturing process

    Correct Answer
    C. Reduce or eliminate process waste
    Explanation
    Statistical Process Control (SPC) is a method used to monitor and control a manufacturing process. By collecting and analyzing data, SPC helps identify any variations or abnormalities in the process. One of the main goals of SPC is to reduce or eliminate process waste, which refers to any inefficiencies or defects that occur during the manufacturing process. By identifying and addressing the root causes of waste, SPC helps improve the overall quality and efficiency of the process, leading to cost savings and increased customer satisfaction.

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  • 8. 

    Statistical Process Control answers the question: "Is the process stable?"

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Statistical Process Control (SPC) is a methodology used to monitor and control a process to ensure its stability and quality. By analyzing data collected from the process, SPC helps determine whether the process is stable, meaning it is operating within acceptable limits and producing consistent outcomes. Therefore, the statement "Statistical Process Control answers the question: 'Is the process stable?'" is true, as SPC is specifically designed to address this question.

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  • 9. 

    Root Cause Analysis in the SPC process explains: 

    • A.

      Why and What happened

    • B.

      Materials and Equipment needed

    • C.

      Variations in the molding process

    • D.

      Statistical norms in the CC chart

    Correct Answer
    A. Why and What happened
    Explanation
    Root Cause Analysis in the SPC process is a method used to identify the underlying reasons and events that led to a particular outcome or problem. It aims to determine the "why" and "what" of the situation, providing insights into the causes and contributing factors. By analyzing the root causes, organizations can take appropriate actions to prevent similar issues from occurring in the future and improve overall process efficiency. This analysis helps in understanding the sequence of events and identifying the key factors that influenced the outcome.

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  • 10. 

    Statistical Process Control was invented by

    • A.

      Walter White

    • B.

      Walter Whitman

    • C.

      Walter Disney

    • D.

      Walter Shewhart

    Correct Answer
    D. Walter Shewhart
    Explanation
    Statistical Process Control was invented by Walter Shewhart. He was an American physicist, engineer, and statistician who developed the concept of statistical process control in the 1920s. Shewhart's work laid the foundation for modern quality control methods and helped revolutionize industrial production by emphasizing the importance of measuring and analyzing process data to improve quality and reduce variability. His contributions have had a significant impact on the field of quality management and continue to be widely used in various industries today.

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Janaisa Harris |BA (Mathematics) |
High School Math Teacher
Janaisa Harris, an experienced educator, has devoted 4 years to teaching high school math and 6 years to tutoring. She holds a bachelor's degree in Mathematics (Secondary Education, and Teaching) from the University of North Carolina at Greensboro and is currently employed at Wilson County School (NC) as a mathematics teacher.

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