Final answer:
The graph for P=0.0158 matches with a z-score of -2.15 since smaller P-values represent more extreme z-scores, while the graph for P=0.1762 corresponds with a z-score of -0.93, as larger P-values indicate z-scores closer to the mean.
Step-by-step explanation:
Matching each P-value with the graph that displays its area involves understanding the relationship between P-values and z-scores. A P-value represents the area under the standard normal distribution curve to the left of a given z-score. The smaller the P-value, the further to the tail end of the curve (and thus a more extreme z-score) it corresponds to, while a larger P-value indicates a z-score closer to the mean.
The P-value 0.0158, is a relatively small number, suggesting that it corresponds to a z-score that is more extreme, meaning further into the tail of the normal distribution. Accordingly, graph (a), which corresponds to z = -2.15, would be the graph that displays the area for P=0.0158 since z-scores with larger absolute values are associated with smaller P-values.
In contrast, a P-value of 0.1762 is larger, indicating that the associated z-score is closer to the mean of the distribution. Therefore, graph (b), with z = -0.93, would represent the P-value of 0.1762 since z-scores closer to zero reflect larger P-values.