Based on the plot of normal distributions A and B above, the true statement include the following;
B. B has the larger mean.
D. A has the larger standard deviation.
In Statistics, a normal distribution curve is a probability distribution curve that is continuous and symmetrical on both sides of the mean, which indicate that all data near the mean (μ) have a higher frequency than the data that are far from the mean (μ).
Generally speaking, the mean (μ) of any normal distribution curve is represented by the peak of the curve. Therefore, curve B has a larger mean than curve A.
Additionally, the standard deviation of a normal distribution curve is represented by the curve's spread. Therefore, curve A has the larger standard deviation because it is more spread out (flatter and wider) than curve B.