Chartered Alternative Investment Analyst Association (CAIA) Exam 2025 – 400 Free Practice Questions to Pass the Exam

Visual inspection of plots is a well-regarded method for detecting outliers in statistical analysis. When data is graphically represented, such as through scatter plots or box plots, any points that deviate significantly from the overall distribution can be easily identified. This method allows analysts to quickly see patterns and anomalies in the data that might otherwise remain obscured within numerical calculations.

While analyzing the mean and standard deviation is a valid approach to identify outliers analytically, it often relies on assuming a normal distribution, which may not always be the case. Software algorithms can provide sophisticated analysis but may not be suitable for all data types or contexts without human interpretation, and relying solely on algorithms might miss out on visual insights that can lead to a more thorough understanding of the data. Random sampling does not typically address outliers; instead, it is used to ensure a representative sample of the population. Thus, visual inspection remains a robust method that offers clarity and immediate insights into the nature of the data.