PPT-Sampling and Quality Control

Uses of sampling in Quality 1 Why sample Samples give us information about a Population For us the population could be manufactured items internet orders from Amazon Skype calls customers in . Husheng Li. The University of Tennessee. Chopper Sampling . We introduce a switching function such that . x_s. (t)=x(t)s(t), where. Nyquist. Criterion. The sampling rate should be at least twice the bandwidth of the signal, in order to fully reconstruct the signal.. Jared Hockly - Western Springs College . hocklyj@wsc.school.nz. . Overview of this session:. Discuss the standards 1.10 and 2.9 briefly (some clarifications). Focus on developing understanding of sampling variability. Dru. Rose . Methods of Data Collection. Surveys . and Polls. Experimental. Studies. Observational. Studies. Dru. Rose . Polls and Surveys. Poll. Few questions. Multi-choice type only. Survey. Many questions. Big Question: How do you know when you have collected enough data and done it appropriately?. Today’s Agenda. Tips and Tricks. Article Review Discussion. Assignment for Feb 24. Sampling Review. Observation Approaches (Qualitative/ Quantitative) and Practice. and. purge techniques. Acquiring . a . representative sample. Your Resources:. ISO Standards (5667). GNS National Protocol. What are we trying to achieve?. 3. Why is this so important?. A REPRESENTATIVE SAMPLE!. 1. Sampling Errors . arise due . to:. . POPULATION SPECIFICATION ERROR—when the researcher does not understand who (s)he should survey. For e.g. in a survey about breakfast cereal consumption - who should be surveyed? The mother makes the purchase decision, but the children influence her choice.. x(t. ). x~(t. ). Sound is audible in 20 Hz to 20 kHz range:. . f. max. = 20 kHz and the Nyquist rate 2 . f. max. = 40 kHz . What is the extra 10% of the bandwidth used?. Rolloff. from passband to stopband in the magnitude response of the anti-aliasing filter. Robert Christensen. , Feifei Li. University of Utah. Lu Wang, Ke Yi. Hong Kong University. Of Science and Technology. Motivation. Geo Spatial Data is being collected on a massive scale. Approximate aggregations is fast and often effective for this data. WFP Logistics, We Deliver. Lesson Plan: Food Quality Control. LEARNING OBJECTIVES: . By the end of the session, participants will be able to:. Understand the importance of preventive measures. Describe inspection techniques to control the quality of the food. General Sampling Issues. Thinking of the steps in sampling (from theoretical population to respondents)—what are some biases that can come in at each point?. What is the proximity similarity model? What are issues with that model?. Presented by:. Er. Bhagawan Shrestha. Quality Assurance Plan. Total Quality management (TQM). As defined by ISO: “TQM is a management approach of an organisation, . centered on Quality. , . based on participation of all its members of the organisation. 1. Attributes of Common Cause Variation. It is the variation inherent to a Process.. It cannot be reduced unless one changes the Process.. It can be considered to be the background noise present in a Process.. Inside/Outside-with no visible particulate in the air 4 L/min /10 min or longerSpecial inside clean environments 4 L/min / 30 min or longerSurface collections 4L/min/10-100cm2 1. Label the cassette fo Adeetya's Kitchen & Furniture in Pune offers a selection of top-quality kitchen trolleys to maximize storage space and improve the functionality of any kitchen. https://adeetyas.com/high-quality-kitchen-trolleys-in-pune.php