Final answer:
To find the upper limit of a 90% confidence interval, additional information such as the sample proportion and margin of error is needed. The concept of a confidence interval provides an estimated range of values within which the true population proportion is expected to lie with a certain level of confidence.
Step-by-step explanation:
The student is asking how to calculate the upper limit of a 90% confidence interval when the lower limit is provided as 0.568.
A confidence interval estimates the true proportion of a statistic with a certain level of confidence. In this case, the interval is being used to estimate the proportion of students enrolled in college or a trade school within 12 months after graduating from high school in 2017.
To complete the confidence interval, we would need more information regarding the sample proportion and the margin of error (EBP). However, an example of interpreting a confidence interval is as follows: We estimate with 90 percent confidence that the true percentage of all students who are registered voters is between 56.4 percent and 63.6 percent.