Summary: Business Statistics In Practice | 9780077129064 | Bruce L Bowerman, et al

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Read the summary and the most important questions on Business statistics in practice | 9780077129064 | Bruce L. Bowerman, Richard T. O'Connell.

  • 1 An Introduction to Business Statistics

  • 1.1 Data

    This is a preview. There are 5 more flashcards available for chapter 1.1
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  • Time Series Data

    Data collected of different time periods
  • 1.2 Data sources

    This is a preview. There are 2 more flashcards available for chapter 1.2
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  • 2 kinds of data sources

    Existing sources and new obtained data

  • What two types of new data do we distinguish? 

    experimental and observational
  • What is experimental sources

    Being able to manipulate values of factors
    (e.g. it is possible giving a placebo to the other experimental group)
  • What is observational studies

    Not being able to manipulate or control the values of factors
    only watch what happens or participate
  • What is a factor?

    All the other "things" (or factors) that may be related to the response variable of interest. (So for instance, we are interested in the level of cholestrol, then weight and diet plays roles too)
  • 1.3 Populations and Samples

    This is a preview. There are 4 more flashcards available for chapter 1.3
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  • What is the picture displaying?

    This is called generalization
    The small picture portrays a sample of the bigger one, the population 
  • 1.4 Statistical inference

    This is a preview. There are 2 more flashcards available for chapter 1.4
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  • What is a process

    A process is a sequence of operations that takes inputs (labor, materials, methods, machines and so on) and turns them into outputs (products, services, and the like)
  • What is a infinite population

    A population that is defined so that there is no limit to the number of elements that could potentially belong to the population
  • 1.5 Scales

    This is a preview. There are 6 more flashcards available for chapter 1.5
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  • What is a ratio variable

    Ratio variable is a quantitative variable measured on scale and there are meaningful zero points. So for instance, when one is measuring the height of people then zero means no height at all. 
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