For populations with the same average value for a trait, in the population with the larger standard deviation individuals would be more likely to deviate from the average. In the population with the smaller standard deviation, individuals would be clustered much more closely around the average. For example, imagine two populations each having an average value of 5 for a trait. If one population has a standard deviation of 0, everyone would have the same value for the trait: 5. If a different population had a very high standard deviation, there could, for example, be many people with measures of 8 or 9, and these individuals would be balanced out by others with measures of 2 or 1, respectively, so that any two individuals would be more likely to differ for the measure (and to differ by a greater amount).