Which chart type enables you to view outliers?  a.  Histogram  b.  Box plot  c.  Outlier plot  d.  Distribution plot

Understanding Chart Types for Outliers

To determine which chart type is best for viewing outliers, we need to briefly discuss the characteristics of each option:

1. Histogram: A histogram displays the frequency distribution of a data set, showing the number of observations within certain ranges (bins). While it provides insight into the shape of the data distribution, it does not specifically highlight outliers.

2. Box Plot: A box plot, or box-and-whisker plot, displays the median, quartiles, and potential outliers of a dataset. Outliers are typically indicated as individual points beyond the "whiskers" of the box, making this chart particularly effective for highlighting outliers in the data.

3. Outlier Plot: An outlier plot would generally be designed specifically to identify points that deviate significantly from other observations. However, this term is less commonly used compared to standard statistical charts.

4. Distribution Plot: A distribution plot shows how values are distributed across a range. While it can suggest the presence of outliers through density estimates, it is primarily focused on the overall distribution.

Conclusion

After analyzing the options, the chart type that enables you to view outliers most clearly is the Box Plot (b). Box plots are specifically designed to show outliers alongside the distribution of the data, which is why they are widely used in statistical analysis.