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BUSA6004-online quiz-week 1

Quiz by Hanlin Shang

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5 questions
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  • Q1
    Which of the following is CORRECT?
    In data science, we are only interested in the the relationship that holds for the data sample because that is the only evidence we have
    In data science, the population is impossible to define
    In data science, we are interested in drawing conclusions about population
    In data science, it is not possible to draw conclusions about population since population is too large
    90s
  • Q2
    Which of the following is CORRECT?
    The main steps in data analytics are to first identify the population, then collect data on the whole population, then analyze the data and make decisions
    The main steps in data analytics are to first get a set of data, then formulate questions based on that data set, then analyze the data and make decisions
    The main steps in data analytics are to first determine the sampling method, then collect the data, then analyze the data and make decisions
    The main steps in data analytics are to first formulate quantitative questions, then find the data that can be used to answer those question, then analyze the data and make decisions
    90s
  • Q3
    Which of the following is INCORRECT?
    To draw conclusions about population, we need a data sample collected by stratified random sampling
    To draw conclusions about population, we need a data sample collected by random sampling
    To draw conclusions about population, we need a data sample collected by cluster sampling
    To draw conclusions about population, we need a data sample collected by quota sampling
    90s
  • Q4
    Which of the following is INCORRECT?
    In an unbiased sample, each individual in the population has equal chance of appearing in that sample
    Quota sampling is a method that gives unbiased samples
    An unbiased sample must be collected from a random population
    To draw conclusions about population, we need unbiased samples
    90s
  • Q5
    Which of the following is INCORRECT?
    The second quartile is the same as the median
    The central location of a data set can be summarized using mean or median or mode
    The shape of the data can be summarized and visualized by a histogram
    None of the above
    90s

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