QuestionQ70

Data science concepts

A Data Scientist is examining null values in a dataset for a specific column. After exploratory analysis, the Scientist determines that the value distribution is Gaussian and that the data does not represent rates or ratios without multiplicative properties.

Which method should the Scientist use to replace the null values in the column?

  • A Harmonic mean
  • B Standard deviation
  • C Geometric mean
  • D Arithmetic mean
Explanation

The arithmetic mean is appropriate for imputing missing values in a Gaussian-distributed variable because it represents the distribution’s central value. Geometric means apply to positive multiplicative data, harmonic means apply to rates or ratios, and standard deviation is a measure of spread rather than an imputation value.

Community Discussion

No comments yet. Be the first to start the discussion!