The criteria for interpreting a normal quantile plot should

The criteria for interpreting a normal quantile plot should be used more strictly for large samples. If the plot is bell-shaped, the population distribution is normal The population distribution is normal f the patten of points is reasonably close to a straight line. The population distribution is not normal if the points show systematic pattern that is not a straight-line patten.

Solution

Option (A) is not true because according to the central limit theorem, for large samples, it automatically starts tending to a normal distribution. So the criteria should be less strict for large samples.