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Data Science Basics and Toolbox MCQs - Data Science Statistical Inference, Regression
  1. Which of the following is example use of Poisson distribution ?
    2. A.
    Analyzing contigency table data
    B.
    Modeling web traffic hits
    C.
    Incidence rates
    D.
    All of the Mentioned

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  2. Which of the following form the basis for frequency interpretation of probabilities ?
    3. A.
    Asymptotics
    B.
    Symptotics
    C.
    Asymmetry
    D.
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  3. Which of the following is correct with respect to residuals ?
    4. A.
    Positive residuals are above the line, negative residuals are below
    B.
    Positive residuals are below the line, negative residuals are above
    C.
    Positive residuals and negative residuals are below the line
    D.
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  4. Which of the following is also referred to as random variable?
    5. A.
    stochast
    B.
    aleatory
    C.
    eliette
    D.
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  5. Which of the following is a property of likelihood ?
    6. A.
    Ratios of likelihood values measure the relative evidence of one value of the unknown parameter to another
    B.
    Given a statistical model and observed data, all of the relevant information contained in the data regarding the unknown parameter is contained in the likelihood
    C.
    The Resultant likelihood is multiplication of individual likelihood
    D.
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  6. Which of the following inequality is useful for interpreting variances ?
    7. A.
    Chebyshev
    B.
    Stautaory
    C.
    Testory
    D.
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  7. Which of the following can be useful for diagnosing data entry errors ?
    8. A.
    hat values
    B.
    dffit
    C.
    resid
    D.
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  8. Which of the following is the oldest multiple testing correction ?
    9. A.
    Bonferroni correction
    B.
    Bernoulli correction
    C.
    Likelihood correction
    D.
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  9. Point out the wrong statement:
    10. A.
    Asymptotics are used for inference usually
    B.
    Adding squared terms makes it continuously differentiable at the knot points
    C.
    Adding squared terms makes it twice continuously differentiable at the knot points
    D.
    None of the Mentioned

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  10. Point out the wrong statement:
    11. A.
    A random variable is a numerical outcome of an experiment
    B.
    There are three types of random variable
    C.
    Continuous random variable can take any value on the real line
    D.
    None of the Mentioned

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