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MCQs

Total Questions : 10
Question 1. Which of the following is example use of Poisson distribution ?
  1.    Analyzing contigency table data
  2.    Modeling web traffic hits
  3.    Incidence rates
  4.    All of the Mentioned
 Discuss Question
Answer: Option D. -> All of the Mentioned




Question 2. Which of the following is a property of likelihood ?
  1.    Ratios of likelihood values measure the relative evidence of one value of the unknown parameter to another
  2.    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
  3.    The Resultant likelihood is multiplication of individual likelihood
  4.    All of the Mentioned
 Discuss Question
Answer: Option D. -> All of the Mentioned


Likelihood is the hypothetical probability that an event that has already occurred would yield a specific outcome.


Question 3. Which of the following is also referred to as random variable?
  1.    stochast
  2.    aleatory
  3.    eliette
  4.    All of the Mentioned
 Discuss Question
Answer: Option B. -> aleatory


Random variable is also known as stochastic variable.


Question 4. Which of the following is correct with respect to residuals ?
  1.    Positive residuals are above the line, negative residuals are below
  2.    Positive residuals are below the line, negative residuals are above
  3.    Positive residuals and negative residuals are below the line
  4.    All of the Mentioned
 Discuss Question
Answer: Option A. -> Positive residuals are above the line, negative residuals are below


Residuals can be thought of as the outcome with the linear association of the predictor removed.


Question 5. Which of the following form the basis for frequency interpretation of probabilities ?
  1.    Asymptotics
  2.    Symptotics
  3.    Asymmetry
  4.    All of the Mentioned
 Discuss Question
Answer: Option A. -> Asymptotics


Asymptotics is the term for the behavior of statistics as the sample size.


Question 6. Which of the following inequality is useful for interpreting variances ?
  1.    Chebyshev
  2.    Stautaory
  3.    Testory
  4.    All of the Mentioned
 Discuss Question
Answer: Option A. -> Chebyshev


Chebyshev's inequality is also spelled as Tchebysheff's inequality.


Question 7. Which of the following can be useful for diagnosing data entry errors ?
  1.    hat values
  2.    dffit
  3.    resid
  4.    All of the Mentioned
 Discuss Question
Answer: Option A. -> hat values


resid returns the ordinary residuals.


Question 8. Which of the following is the oldest multiple testing correction ?
  1.    Bonferroni correction
  2.    Bernoulli correction
  3.    Likelihood correction
  4.    All of the Mentioned
 Discuss Question
Answer: Option A. -> Bonferroni correction


Bonferroni correction is easy to calculate.


Question 9. Point out the wrong statement:
  1.    Asymptotics are used for inference usually
  2.    Adding squared terms makes it continuously differentiable at the knot points
  3.    Adding squared terms makes it twice continuously differentiable at the knot points
  4.    None of the Mentioned
 Discuss Question
Answer: Option C. -> Adding squared terms makes it twice continuously differentiable at the knot points


Adding cubic terms makes it twice continuously differentiable at the knot points


Question 10. Point out the wrong statement:
  1.    A random variable is a numerical outcome of an experiment
  2.    There are three types of random variable
  3.    Continuous random variable can take any value on the real line
  4.    None of the Mentioned
 Discuss Question
Answer: Option B. -> There are three types of random variable


There are two types of random variable-continuous and discrete.


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