This means that 68.26% of all scores will fall within 1 standard deviation from the mean. You are a researcher examining the GRE scores of U.S. test takers between 2010 and 2017 to understand the distribution of scores. The range for the verbal and quantitative scores for the GRE falls between 130 and 170, and the mean score is 150. The line for this data's normal curve begins above the x-axis at 130, rises to its height at 150, then descends to 170 above the x-axis. In considering this data, the first thing you look at is the position of scores. Based on this distribution, which score is a person taking the GRE more likely to receive? 160 or 145