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Summary Advanced Tools In Quality Management

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A snapshot of the summary - Advanced Tools in quality management

  • Basic statistics

    This is a preview. There are 5 more flashcards available for chapter 04/01/2021
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  • What do terms populations and sample mean?
    Population>(Random sampling)> Sample 
    • Why? To time consuming to stud whole population  
  • What are units and variables?
    • Units: The elements of a sample from which we collect information. 
      • Example: Bottle
    • Variable: measured property of an element of the sample
      • Example: concertation of alcohol  
      • In general: the things we measure, like height, weight
  • How can you discriminate the types of variables?
    • Quantitative variable( continuous/discrete)
      •  Height, percentage of alcohol( continuous)
      • Number of children's in household(Discrete) 
    • Qualitative variable (nominal/ordinal)
      • Hair colour, bachelor program (nominal)
      • Grade of eggs (AA/A/B), highest level of education (ordinal) 
  • What are the different  probability distributions?
    • One continuous distribution:
      • normal
    • Two discrete probability distributions:
      • Binomial (n, p)
      • Poisson
  • What are general assumptions of Binomial situation?
    • N trials
    • The trials are independent 
    • Each trial result in ether success of failure 
    • The probability of succes, p remains the same each trial 
  • When Poisson distribution?
    Calculate probability that a random batch has exact one complaint.
  • General sampling principles

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  • What are major quality control activities?
    1. Measuring
    2. Testing 
    3. Regulating 
    4. Taking corrective actions 
  • Why sampling in quality control?
    • Variation in characteristic in food
      • consist of biological material
      • production involve human processes
    • Sources of variation 
      • Common cause - Variation from natural sources or sources embedded in the system itself
      • incidental causes - variaton arising from external sources: operator errors etc. 
    • Check if quality and safety parameters are within defined tolerances 
  • What is a sample ?
    Is a subset from a large population or process.
    • Is representative of the population
    • Mirrors the characteristics of the population 
  • Why sampling incoming materials?
    • Monitoring the quality of incoming materials
    • Examining the number of defective products in batch of goods
    • Crucial is control of process
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