Final answer:
A normal probability plot is a graphical tool that helps assess whether a dataset follows a normal distribution.
Step-by-step explanation:
A normal probability plot is used to assess if a set of data follows a normal distribution. In this plot, the data points are plotted against the expected values if the data were normally distributed. If all the points fall on or approximately follow a straight line, then the data can be considered to be approximately normally distributed.
If all the points of the data set sim_norm fall on the line in the normal probability plot, it indicates that sim_norm follows a normal distribution. If some points deviate significantly from the line, it suggests that the data does not follow a normal distribution.