What type of plot is used to compare ranked observed values against normal scores?

A normal probability plot is specifically designed to compare ranked observed values against normal scores. This type of plot helps assess whether the data follow a normal distribution by plotting the observed data points against the expected values derived from a theoretical normal distribution. If the points in the plot closely follow a straight line, this indicates that the data likely come from a normal distribution.

In contrast, other plots like box plots primarily provide summary statistics of the data, such as medians, quartiles, and potential outliers, without specifically comparing to a normal distribution. Histograms display the distribution of the data but do not rank or compare individual values to normal scores directly. Scatter plots illustrate relationships between two variables but do not serve the purpose of assessing normality or comparing ranks against a theoretical distribution. Therefore, the normal probability plot is the correct choice for this specific task.