CompTIA DataX DY0-001 (V1) Practice Question

A data scientist wants to report a two-sided 95% confidence interval for the true population Pearson correlation between two numerical features. In a random sample of n = 60 observations, the sample correlation is r = 0.58. To use standard normal critical values, which pre-processing step should be applied to the correlation estimate before constructing the confidence interval?

  • Transform r with Fisher's inverse hyperbolic tangent (z-transformation), build the interval in the transformed space, then back-transform the interval's endpoints.

  • Use a Box-Cox transformation on each variable so that the resulting correlation can be treated as normally distributed.

  • Apply the Wilson score method directly to r to obtain the interval.

  • Multiply r by √(n−2)/√(1−r²) and treat the result as standard normal when forming the interval.

CompTIA DataX DY0-001 (V1)
Mathematics and Statistics
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