1. If a distribution appears to be bell-shaped and symmetric about its mean, can we assume that the probability of being within one standard deviation of the mean is .68?
2. Can two distributions differ by a large amount yet have equal means and variances?
3. If a distribution is skewed, is it possible that the mean exceeds the .85 quantile?