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  1. This guide is a revision of the “Guidelines and Template for Developing a Vital Statistics Report” produced by Statistics Norway, UN Economic Commission for Africa (ECA) and UN Economic and Social Commission for Asia and the Pacific (ESCAP). 1 It is meant to be a resource to support

  2. Six Sigma, or 6ς, is both a methodology for process improvement and a statistical concept that seeks to define the variation inherent in any process. The overarching premise of Six Sigma is that variation in a process leads to opportunities for error; opportunities for error then lead to risks for product defects.

  3. • Three process variables: time, temperature and pressure are used to illustrate statistical methods in manufacturing process validation. 1. Histogram Distributions 2. Statistical Process Control 3. Process Capability 4. Design of Experiments 5. Measurement Systems Analysis 6. Sampling Plans

  4. Define the process; 2) Collect the data; 3) Set up the chart; 4) Plot the results; 5) Check on control, and 6) Adjust the process. Let us now consider each in turn.

  5. DEFINITION. Statistics is a branch of mathematics used to summarize, analyze, and interpret a group of numbers or observations. We begin by introducing two general types of statistics: • Descriptive statistics: statistics that summarize observations. • Inferential statistics: statistics used to interpret the meaning of descriptive statistics.

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  6. Exploratory Data Analysis. A rst look at the data. lyzing the data from an experiment. H. detection of mistakes. checking of assumptions. preliminary selection of appropriate models. determining relationships among the explanatory variables, and. assessing the direction and rough size of relationships between explanatory and outcome variables.

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  8. The Five Basic Words of Statistics. The five words population, sample, parameter, statistic (singular), and variable form the basic vocabulary of statistics. You cannot learn much about statis-tics unless you first learn the meanings of these five words.

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