A larger standard deviation of a normal distribution indicates that the distribution becomes:

A) narrower and more peaked.
B) flatter and wider.
C) more skewed to the right.
D) more skewed to the left.

A larger standard deviation means that the values in the distribution are more spread out from the mean. This results in a flatter and wider distribution. Conversely, a smaller standard deviation would result in a narrower and more peaked distribution. Skewness refers to the asymmetry of the distribution, which is not affected by changes in the standard deviation.