Final answer:
A moderate level of anxiety can help improve test performance according to the Yerkes-Dodson law. Too little anxiety leads to apathy and too much results in debilitating stress, both affecting performance negatively. The specific expected number of students with med-low anxiety and a low need to succeed is not calculable without further data.
Step-by-step explanation:
The best interpretation of the graph showing the relationship between anxiety levels and test performance is that a small amount of anxiety can help students perform better on tests. This concept is supported by the Yerkes-Dodson law, which suggests that moderate levels of arousal lead to optimal performance, whereas very low or very high levels of anxiety can be detrimental to performance.
Consequently, while a low level of arousal may result in boredom and apathy, leading to poor performance, excessive anxiety can be paralyzing and cause similar negative outcomes.
The scenario given, where De Anza College observes anxiety levels and the need to succeed in students, would imply that the expected number of students with a med-low anxiety level and a low need to succeed in school would be calculated based on the independence of these two variables.
However, without additional information or the actual data from Table 11.18, it is not possible to provide that expected number. If these variables are indeed independent, the expected number of students in each category can be calculated using the multiplication rule of independent events.
The complete question is: content loaded
Which is the best interpretation of the graph?
A small amount of anxiety is not enough to help perform better on a test.
The higher a student's anxiety, the greater the probability of a good test score.
A small amount of anxiety can help students perform better on tests.
The higher a student's anxiety, the lower the likelihood of overcoming it. is: